Abstract
Soil nailing reinforces soil slopes and retaining walls by installing reinforcing elements into the soil, which rely on bonding strength with surrounding soil to transfer axial forces. This study focuses on the pullout capacity evaluation of grouted soil-nailing, which is conventionally determined through costly and time-intensive site-specific field pullout tests or simplified design methods, Federal Highway Administration (FHWA), and Effective Stress Method (ESM). However, these methods neglect important soil nail configuration parameters governing the pullout capacity. To address this limitation, we present a parametric study on a validated Finite-Element model using PLAXIS 3D to comprehensively investigate the pullout characteristics of grouted soil nailing. The study considers various factors such as sand relative densities, lengths, diameters, and inclination angles of the soil nails. The results reveal that the pullout capacity is significantly influenced by the sand relative density, diameter, and the length of the nailing, while the angle of inclination has only a marginal effect. The comparison with FHWA and ESM methods shows significant scatter, attributed to their lack of consideration for these governing parameters in determining pullout capacity. These findings provide valuable insights into the design and optimization of grouted soil nailing pullout capacity for geotechnical applications.
1 Introduction
Ground improvement techniques for slopes and earth-retaining structures are employed to enhance stability. A diverse range of methods are utilized, including geosynthetics reinforcement [1,2] and soil nailing systems [3,4]. Soil nailing systems encompass various types, from grouted and non-grouted to helical nailing systems [5–8], offering adaptable solutions for stability enhancement.
Grouted soil nailing technique gained significant usage in stabilizing slopes [3,9,10] and excavation support systems [11,12] by enhancing the resistance to pullout at the interface between the grouted nailing surface and the surrounding soil mass [13]. They are also employed in repairing roadway landslides adjacent to watercourses, river margins, bluffs, and other ecologically fragile riparian zones [14]. Additionally, soil nails have been utilized in large-scale levee construction projects along lengthy channels [15].
Typically, the grouted soil nailing construction technique involves drilling and grouting. Initially, a hole is drilled into the existing soil, after which a steel bar with or without corrugated tube, known as a nail, is inserted into the hole and fully grouted. This process results in a soil nail consisting of three layers: a steel bar enclosed within a grout column and a corrugated pipe enclosed with outer grout column, which is further enclosed by the surrounding soil. The grout and the surrounding soil form a bond, known as nail bond strength. This bond strength at the nail-soil interface plays a crucial role in restraining the deformation of the soil mass secured by the nails and thereby ensuring its stability. In engineering practice, project-specific pullout field tests are conducted to measure the pullout capacity of soil-nailing. However, in the absence of the field tests, two methods Federal Highway Administration (FHWA) [11] and Effective Stress Method (ESM) [16–19] are widely used in engineering practice to estimate the pullout capacity.
Additionally, several model lab tests [10,20–22] and numerical simulations [23–26]-based studies on the soil nails have been conducted to understand the pullout characteristics. Nevertheless, although prior investigations primarily concentrated on analyzing the pullout resistance of pressure-grouted soil nails, limited attention has been given to examining the pullout effects of gravity-grouted soil nailing. This includes studying the influence of different diameters, lengths, angle of inclination, and sand-relative densities on the pullout resistance.
As mentioned earlier, the widely used methods FHWA and ESM, as well as previous studies, have not explored the impact of gravity-grouted soil nails, considering the combined influence of various factors such as nail diameters, lengths, angle of inclination, and sand relative densities on pullout resistance. Therefore, to bridge this research gap, we conducted a parametric study aiming to understand the governing parameters of pullout force in gravity-grouted soil nailing. The study involves a pullout field test at a selected site to validate the numerical model, followed by a parametric evaluation using the finite element (FE) software PLAXIS 3D [27]. The effects of sand relative density (RD), nail length, diameter, and inclination on the pullout force of gravity-grouted soil nailing are quantified and discussed. Furthermore, the analysis results are compared with the widely used FWHA and ESM methods in engineering practice. Overall, these findings offer valuable insights into the pullout capacity of grouted soil nailing.
2 Field pullout test
2.1 Site condition
The site is in a flat area located in Pyogyo-ri, Majang-myeon Icheon-si, South Korea. Its landscape is predominantly characterized by low elevation, a result of extensive weathering of granite, except for the highlands in the western region. The area features a basin-like formation with substantial alluvium, particularly around the Bokhacheon stream, which flows through the central part of the city from south to north before merging into the South Han River, one of Korea’s longest rivers. The Bokhacheon stream is surrounded by a substantial layer of alluvium, varying in thickness from 5 to 20 m, and the lowland areas are characterized by sandy soils originating from the underlying granite. These geological features play a pivotal role in forming favorable catchment conditions in the region. Regarding the geology of the study area, it primarily comprises biotite granite, with lesser occurrences of two-mica granite and porphyritic granite, along with dikes. The granites found in the area are part of the Daebo Granite group, which belongs to the Jurassic period and is commonly distributed in the central region of the Korean peninsula. These granites are distinctive for their S-type magma origin, resulting from partial melting of continental crusts. Biotite granite’s main constituents are quartz, feldspars, biotite, and trace muscovite, with calcite occurring as fracture-coating minerals. Two-mica granite occurs as a zonal stock, distributed in certain areas containing numerous pegmatite dikes, and the composition of the granite comprises coarse grains of quartz, feldspars, and micas, with the presence of minerals such as muscovite and biotite. Porphyritic granite is found as a stock in gradual contact with the biotite granite, originating from cogenetic magma of the biotite granite. The primary minerals composing the porphyritic granite are feldspars, quartz, and biotite, with the latter notably displaying a coarser grain size.
The soil conditions at the field pullout test site are determined through geotechnical testing by boring to a depth of 15 m. The subsurface profile reveals that up to a depth of 4.8 m, there is silty sand with an average Standard Penetration Test (SPT) [28] value of 7.4. From 4.8 to 8.8 meters, there is clayey sand with an SPT value of 35, while from 8.8 to 15 m, there is a weathered rock with a refusal SPT value. The SPT values are adjusted for the energy and overburden corrections [29,30]. The shear strength and stiffness parameters of the upper silty sand layers are determined based on the corrected SPT-N values using empirical correlation [31,32]
On the other hand, for the clayey sand, the shear strength and stiffness parameters are directly measured through borehole shear tests [33], as summarized in Table 1.
Pullout test site soil properties
| Depth | Soil description | SPT, N | Soil shear strength | Stiffness parameters | ||
|---|---|---|---|---|---|---|
| φ | c | E | v | |||
| m | Blows/30 cm | Degrees | kPa | kPa | – | |
| 1 | Silty sand (SM) | 3 | 29.5 a | 0 | 3,200 c | 0.3 |
| 2 | 4 | |||||
| 3 | 6 | |||||
| 4 | 8 | |||||
| 4.8 | 16 | |||||
| 5.8 | Clayey sand (SC) | 29 | 32.7 b | 30.7 b | 12,100 c | 0.3 |
| 6.8 | 34 | |||||
| 7.8 | 35 | |||||
| 8.8 | 42 | |||||
| 10 | WR | 50 | N/A | |||
| 15 | 50 | |||||
| End of borehole | ||||||
2.2 Description of grouted nail and field pullout test
The soil nailing system configuration installed for the field pullout test is shown in Figure 1. The nailing system comprises of 28.6 mm diameter deformed ribbed steel bar referred to as a nail, corrugated tube having 21 mm thickness with 84.5 and 65 mm outer and inner diameters, respectively, and grouting. The following procedure for grouted soil nailing construction and pullout test is adopted:
Drilling: The grouted soil nailing system begins by drilling a hole with a diameter of 120 mm and a depth of 7 m (Figure 1(b)).
Inserting the nail: After drilling the holes, the next step is to insert the nailing system that comprises of assembly of 29 mm diameter reinforced ribbed steel bar with corrugated tubes having grouting pipes into the hole (Figure 1(c)).
Grouting: Once the nail with the corrugated tube is in place, the next step is to inject grout into the hole to fill any voids and provide additional support. The grout, cement-based mixture is injected by the force of gravity, it flows downward through the grout delivery pipes inside and outside the corrugated tube (Figure 1(d)).

(a) Illustration of the grouted nailing system, (b) drilling hole, (c) inserting the nail, (d) grouting, (e) final grouted soil nail with rebar left un-grouted for pullout test, (f) reference beams with load cell and LVDTs, and (g) application of pullout loading.
Pullout testing is performed as per ASTM D-3689 [34] method to evaluate the pullout capacity of the grouted soil nail. The procedure for pullout testing involves the following steps:
Placement of reference beams: Reference beams are installed in the ground adjacent to the grouted soil nail (Figure 1(f)).
Attachment of the load cell and mounting the LVDTs: The rebar is left ungrouted at the nail head so that the load cell is attached to the nail. The load cell is used to measure the force required to pull the nail out of the soil. The LVDTs to the reference beams are attached ensuring proper alignment with reference beams to accurately measure the displacement of the grouted soil nail as it was pulled out.
Application of the load: A hydraulic jack is used to apply a load to the nail. The load is applied slowly to allow for the measurement of the force required to pull the nail out of the soil (Figure 1(g)).
During the pullout test, the load cell measured the force exerted to extract the nail from the soil while simultaneously capturing the associated displacement, and this data is recorded to assess the performance of the grouted soil nail.
3 Numerical simulation
The load–displacement behavior of the field pullout test of corrugated tube soil nailing is simulated using three-dimensional (3D) FE software PLAXIS 3D [27]. The single soil nailing pullout at the surface can be better simulated by 3D modeling rather than two-dimensional (2D) modeling. The objectives of the simulations are to validate the numerical model, understand the pullout load transfer mechanism along the nailing system, and investigate the governing factors of pullout force.
Boundary conditions can impact the simulation results [35]; therefore, the lateral and bottom boundaries are defined at 25D and 15D respectively. The computational domain as shown in Figure 2(a) has been defined such that the numerical boundaries have no effect on the obtained results. Soil and nails are simulated using the 10-noded tetrahedral and embedded beam element respectively. Mohr–Coulomb failure criterion [36,37] and the linear elastic [38] constitutive models are used for the soil and nailing, respectively. The pullout load is applied as a point load at the nail head. The mesh size and distribution have been shown to be sensitive when simulating soil–structure interface responses [39,40,41]. Nonetheless, in the present study, we employ the mesh-independent embedded beam element [42] featuring a formulation that remains unaffected by mesh size, signifying that the mesh size does not exert control over the interaction between soil and the nail. The computational domain and the medium-dense mesh with 22,249 elements and 32,115 nodes are shown in Figure 2(b). According to the embedded beam concept depicted in Figure 3(a), the embedded beam/nail consists of line elements. Specifically, an elastic region with dimensions equivalent to the diameter of the nail is assumed. The embedded beam has been developed with a beam element capable of intersecting a 10-node tetrahedral element at any location and orientation and an embedded interface element to simulate the nailing elastic behavior and the grouting interface skin resistance respectively [43]. The presence of the beam element necessitates the inclusion of three additional virtual nodes within the 10-node tetrahedral element (Figure 3(b)). The nail and soil interaction has three components of stiffneses as shown in Figure 3(c). The normal and shear stiffnesses are used to capture the axial and lateral load transfer between the beam and the soil, respectively. These springs are typically defined based on the soil properties and the behavior of the embedded beam. The skin resistance represents the frictional resistance along the surface of the nailing as it interacts with the surrounding soil. Therefore, a depth-dependent function is selected to simulate the skin resistance of the soil nailing. Skin resistance (T i) is defined as
where τ i is the interface shear strength. In the context of depth-dependent skin resistance, the interface shear strength is automatically calculated based on the soil constitutive model, considering the direct soil shear strength and stiffness inputs.

(a) Computational domain and (b) finite element mesh used in analysis.
![Figure 3
(a) Elastic cylindrical zone around the embedded beam, (b) virtual nodes of the embedded beam and soil tetrahedral element, and (c) soil interaction with nailing showing interface normal and shear stiffnesses [43].](/document/doi/10.1515/geo-2022-0543/asset/graphic/j_geo-2022-0543_fig_003.jpg)
(a) Elastic cylindrical zone around the embedded beam, (b) virtual nodes of the embedded beam and soil tetrahedral element, and (c) soil interaction with nailing showing interface normal and shear stiffnesses [43].
Field pullout test site conditions as summarized in Table 1 are used for the validation of the numerical model to evaluate the soil nailing interaction simulation capability of FE and embedded beam. The lateral and bottom boundaries of the domain are fixed normally and fully, respectively. During the analyses, the numerical pullout capacity of the nail is simulated using both the plastic analysis method and the staged construction calculation method.
4 Validation of numerical model
The embedded beam, being a zero-thickness element, must be modeled with volume-like behavior to accurately capture its characteristics. The nail-grout system is represented by an embedded beam assumption, assuming an elastic region with an equivalent diameter. Consequently, when the nail is pulled out and displaced within the soil, it is anticipated that the soil within the elastic region will experience the same displacement as the embedded beam. This expectation was effectively demonstrated through simulation, as depicted by the total displacement contours surrounding the system (Figure 4).

Displacement contours along and around the elastic nail equivalent diameter.
The pullout load–displacement curve measured at the nail head is compared with the curve extracted from numerical analyses in Figure 5. It can be seen that the overall characteristics of the experimental curves are effectively captured over the elastic as well as yielding range. As shown in Figure 5, the pullout load–displacement curve does not exhibit a clear ultimate point, therefore the pullout capacity is calculated by extending the linear elastic portion of the curve and the yield portion of the curve until both intersects. Remarkably, the pullout load capacity numerically calculated exhibits a mere 3.8% error when compared to the field pullout test results. In contrast, the widely used methods FHWA and ESM exhibit significant discrepancies, as they tend to over-predict and under-predict the measured values by 39 and 63%, respectively. This suggests that the simulation can effectively capture the soil-nailing interaction using the embedded beam element. This level of accurate prediction indicates a good agreement between the simulated behavior and the actual response of the soil-nailing system.

Comparison of field and numerical pullout load–displacement curves at the nail head.
The distribution and extent of the plastic deformation/slip surfaces by the plastic point and relative shear stress contours are shown in Figure 6. These provide important information on the load transfer mechanism and the nail–soil interaction. The shape of the failure surface is a curved wedge-like starting from the base and expands outward as the pullout increases near the surface (Figure 6(a)). Nail–soil interaction influenced the relative shear stress contours; at the surface, the nail head have experienced higher shear stresses due to the applied pullout and the resistance offered by the soil. As depth increases, the soil provides more confinement and lateral support to the nail, resulting in a decrease in shear stresses (Figure 6(b)).

Distribution of (a) plastic points and (b) relative shear stress contours.
The distribution of axial forces is shown in Figure 7; it can be seen that at the nail head, where the pullout is applied, the axial force is maximum and gradually decreases toward the base. This is because the pullout is directly transferred to the nail head resulting in a higher force concentration near the soil nailing head. As the load is transferred through skin friction along the nail system through the grout soil interface, the axial force gradually decreases with depth. The reduction in axial forces occurs due to the dissipation of load through the interaction between the nailing surface and the surrounding sand.

Axial force distribution along soil nailing length.
5 Parametric study
In this study, a suite of analyses have been performed to simulate the effects of the RD of sand, nailing length, diameter, and angle of inclination on the soil nailing pullout capacity. The variable parameters used in the study are summarized in Table 2. Three different states of sand characterized by varying granulometric characteristics are simulated. Loose sands are associated with poor grading, typically indicated by C u values exceeding 6 and C c values greater than 1. Medium sands fall within a moderate grading range, with C u values ranging from 4 to 6 and C c values between 1 and 2. Dense sands exhibit well-graded characteristics, featuring C u values below 4 and C c values less than 1. According to Brinkgreve et al. [44], empirical formulas for sand are referred to calculate the properties of the based on the RD, and the properties are summarized in Table 3. The integrated nailing system in this study comprises of 28.6 mm diameter deformed ribbed steel bar referred to as a nail, corrugated tube having 21 mm thickness with 84.5 and 65 mm outer and inner diameters, respectively, and variable grouting based on the drilling hole diameter. The lengths and diameters of the nailing system are summarized in Table 2. The various properties and respective parameters of the nailing system used in the study are summarized in Table 4. The equivalent modulus of elasticity of the integrated soil nailing system is defined as
Parametric Study Matrix
| Parameters | Range | Simulation cases |
|---|---|---|
| Soil | Loose, medium, and dense sand | 03 |
| Nailing length (m) | 4, 8, and 12 | 03 |
| Nailing diameter (mm) | 105, 152, and 203 | 03 |
| Nailing inclination angle (°) | 0, 10, 20, 30, and 45 | 05 |
| Total cases | 135 | |
Sand properties considered in study
| Description | Loose | Medium dense | Dense | ||
|---|---|---|---|---|---|
| Granulometric characteristics | Sorting/grading | Poorly | Moderately | Well | |
| C u | — | >6 | 4–6 | <4 | |
| C c | — | >1 | 1–2 | <1 | |
| RD | (%) | 25 | 50 | 75 | |
| Effective parameters | γ | (kN/m3) | 16 | 17 | 18 |
| E | (kN/m3) | 15,000 | 30,000 | 45,000 | |
| φ’ | (o) | 31.1 | 34.3 | 37.4 | |
| ψ‘ | (o) | 1.1 | 4.3 | 7.4 | |
| v | — | 0.25 | 0.25 | 0.25 | |
Nailing properties considered in study
| Size, diameter (mm) | Material model | Parameters | |||
|---|---|---|---|---|---|
| γ (kN/m3) | E 1 (kN/m3) | Type | Axial skin resistance | ||
| 105 | LE | 23 | 1.63 × 107 | Circular | Layer dependent |
| 152 | 8.43 × 106 | ||||
| 203 | 5.37 × 106 | ||||
1The nailing system (nail + corrugated tube + grout) deforms consistently during pullout test, therefore is simulated as an elastic body with an equivalent Young’s modulus.
Also, the simulated nailing inclination angle (θ) configuration from the vertical plane in the computational model is shown in Figure 13(a).
6 Analysis and discussion of parametric study results
6.1 Effect of RD
In the analyses, the influence of RD on the pullout capacity is investigated. The analyses encompassed three distinct relative densities, namely loose (RD = 25%), medium (RD = 50%), and dense (RD = 75%). The results are expressed in terms of the pullout load–displacement curves extracted at the nail head (Figure 8). The pullout load–displacement curve at the nail head provides insight into the behavior of the nail soil system and its response to the applied pullout loading. When a nail is pulled out from loose sand, the sand particles tend to move and spread apart, increasing the void ratio. This process is known as dilatancy. As the void ratio increases, the effective stress within the sand decreases, resulting in a reduction of its shear strength. As a consequence, the pullout force decreases in loose sand. [45]. In contrast, when a nail is pulled out from dense sand, the sand particles are tightly packed together with a lower void ratio. As the pullout displacement increases, the sand particles experience less movement and retain their compact arrangement due to the limited dilation. This leads to an increase in the effective stress and shear strength of the dense sand, making it more resistant to the pullout force compared to loose sand [45]. Various studies [46,47] reported similar impact of dilatancy effect on the pullout behavior as observed in the current study.

Effect of soil RD on pullout load displacement behavior for 200 mm diameter nailing system and L = 4 m.
To further understand the mobilization of the shear stress and pullout capacity for different relative densities, the relative shear stress ratio contours (Figure 9) are extracted at the yield point loading step of the pullout load–displacement curve as shown in Figure 8 (points A, B, and C). Relative shear stress is an important parameter that indicates the level of shear resistance that the soil offers to the nailing during pullout and is defined as the ratio of the mobilized shear stress acting to the maximum shear stress that the soil can resist without failure. It can be seen from the contours that the relative shear stress ratio generally increases with increasing sand RD. When the sand is relatively loose, the nailing experiences less resistance to pullout, resulting in a lower relative shear stress ratio. On the other hand, when the sand is relatively dense, the nailing experiences more resistance to pullout, resulting in a higher relative shear stress ratio.

Effect of soil RD on relative shear stress contours for L = 4 m and D = 203 mm nailing system: (a) loose, (b) medium dense, and (c) dense sand.
A relative shear stress ratio of 1 indicates that the maximum shear stress that the soil can resist without failure has been reached, and any further increase in the pullout force will cause failure. The location of the failure surface is complex as it depends on the level of the nailing pullout displacement. From the maximum value, it can be seen that failure surface is effected by the RD of the sand, generally observed that the failure surface tends to be deeper in loose sand compared to medium and dense sand. This is because loose sand typically has a lower shear strength and less interlocking between the soil particles, which allows the soil to deform and fail more easily under the applied pullout force. As a result, the failure surface tends to be wider and deeper in loose sand, which can result in lower pullout force. On the other hand, as density increases, shear strength increases and more interlocking between the soil particles, which allows the soil to resist the applied pullout force more effectively. As a result, the failure surface tends to be narrower and shallower in medium and dense sand.
The effect of the RD on the pullout capacity for all the cases is presented in Figure 10. It can be seen that with the increase in sand RD, the pullout force increases across all cases. When comparing loose to dense sand, which had a three-fold difference in RD, the average increase in pullout capacity for all diameters is 1.31 times for the 4 m long nailing, 1.42 times for the 8 m long nailing, and 1.5 times for 12 m long nailing. The rate of increase is influenced by the length and nail diameter.

Effect of soil RD on pullout capacity: (a) 105 mm, (b) 152 mm, and (c) 203 mm diameters.
6.2 Effect of length
The effect of the nailing length on pullout force is shown in Figure 11. Increasing the nailing length results in a significant increase in pullout force, with a three-fold increase in length from 4 to 12 m leading to an average increase of nine times. This rate of increase in pullout force due to length is marginally dependent on the sand RD and nailing diameter. The increase in nailing length leads to greater skin resistance, which helps to increase the pullout capacity and improve its ability to resist pullout forces. This increase in pullout resistance is relatively consistent across different levels of RD, indicating that the effect of nailing length on pullout resistance is more significant than the effect of RD.

Effect of nailing length on ultimate pullout capacity: (a) 105 mm, (b) 152 mm, and (c) 203 mm diameters.
6.3 Effect of diameter
The effect of the nailing diameter on pullout force is shown in Figure 12. Increasing the nailing diameter results in increases in the pullout force linearly, with a two-fold increase in diameter from 105 to 203 mm leading to an average increase of 1.93 times. This rate of increase in pullout force due to diameter is marginally dependent on the sand RD and length of nailing. The increase of the nailing diameter provides a larger surface area for the sand to transfer pullout forces, which increases the skin friction of the nailing shaft. As a result, the large diameter nailing is able to resist pullout forces more effectively, which leads to an increase in pullout capacity.

Effect of nailing diameter on ultimate pullout capacity: (a) loose, (b) medium, and (c) dense sands.
6.4 Effect of inclination
Investigating the effect of inclination is crucial since nailing is installed at an angle. The effect of the inclination angle for 10, 20, 30, and 45° are investigated as shown in Figure 13. An increase in inclination angle from 0 to 30° results in an increase in nailing pullout capacity, which is only around 9.5%. However, at an inclination angle of 45°, there is a decrease in pullout force, which is less than 1% and not noticeable. The increase in pullout capacity of an inclined nail signifies the stress distribution around soil nailing due to increased nail skin friction, enhanced soil arching, and increased soil shear strength. However, when the inclination angle increases beyond 30°, a decrease in pullout capacity can be attributed to limited soil arching resulting in decreased soil shear strength. Furthermore, it is observed that the rate of pullout increase was more noticeable in dense sand as opposed to loose sand. Therefore, it is essential to carefully consider the inclination angle during the installation of nailing to achieve the desired pullout capacity.

(a) Inclination definition and (b) effect of nailing inclination on the ultimate pullout force for nailing having 4 m length and 203 mm diameter.
Although the literature lacks specific attention to the effect of inclination on the pullout force of grouted soil nailing. In Figure 14, the effect of inclination on the grouted soil nailing pullout force of the current study simulation is compared with the measured response of inclined plate anchors [48] and micro piles [49–51] model tests in the sand. The comparison reveals a reasonable agreement with the trends of the current study that an increase in inclination angle initially increases the pullout force up to 30°. Further experimental studies are warranted to validate the findings current study on the pullout of grouted soil nailing considering various angles of inclination.

Comparison of the inclination effect on pullout force with previous studies.
6.5 Location of active and passive failure zone
Locating the active and passive zones in the soil nailing pullout is a crucial aspect of designing the available length of the nail for optimal pullout resistance in the passive zone. In this study, we employed the concept of relative shear stress ratio to identify specific stress points at which the relative shear stress approaches a value of 1, as demonstrated in Figure 15. These relative shear stress values are extracted at the point of ultimate pullout force. The simulated results reveal a cylindrical shape and the slip surface angle in accordance with the principles of the Rankine earth pressure theory [52]; this finding aligns with previous studies conducted on piles pullout behavior in sandy soils [53,54]. The depth and width of the active zone measured from the center have been determined to be 0.2D and 0.25D, respectively, as drawn in Figure 15. It is important to note that the location of these active and passive zones remains independent of nail length, diameter, and sand relative densities.

Location of active and passive failure zones for L = 4 m and D = 203 mm nailing system: (a) loose, (b) medium dense, and (c) dense sand (legend range, 1–0.95).
7 Comparison with FHWA and ESM methods
The results of numerical simulation results are compared with estimates from widely used engineering methods such as FHWA and ESM (Figure 16). In the simplified method FHWA, the pullout force predictions tend to be overestimated by a factor of 1–2 at lower confining pressures, and the level of unpredictability increases as the confining pressure rises, with a range of 1.5–3.7 times. This indicates that the simplified method does not consider the influence of the confining pressure, resulting in significant scatter in the predictions. In the ESM method, the predictions consistently underestimate the values across all ranges, ranging from 1.4 to 2 times, with an average underestimation factor of 1.7 times. Both FHWA and ESM exhibit variations in the accuracy of their pullout force predictions, leading to scattered data points. This observation suggests that FHWA lacks consideration for both confining pressure and dilatancy, while ESM incorporates the confining pressure but fails to capture the dilatancy effect, resulting in a notable scatter in the predictions. Furthermore, neither of these methods takes into account the effect of the angle of inclination on the grouted nail pullout force predictions.

Comparison of the pullout capacity with the widely used FHWA and ESM methods.
8 Conclusion
In this study, the pullout capacity of grouted soil nailing is investigated using 3D FE simulation in PLAXIS. Initially, we evaluated the ability of numerical simulation to replicate the pullout behavior of a soil nailing by comparing the results with data from a field pullout test. The comparisons show that the measured pullout force–displacement curve fits favorably with numerical simulation over the elastic and yielding regions. The 3D FE model with embedded beam element successfully captures the essential features of soil nail pullout characteristics such as mobilized pullout shear stresses, pullout force, and displacements. A series of numerical analyses are performed to investigate the effect of sand RD, nailing length, diameter, and the angle of inclination on the nailing pullout capacity. The conclusions derived from this study are the following:
The RD of the sand has a noticeable impact on the characteristics of the pullout load–displacement curve of the nailing. In loose sand (RD = 25%), there is a noticeable peak and ultimate point, and as the density increases (RD = 50–75%) in the case of medium and dense sand, the dilatancy effect becomes more prominent. When comparing loose to dense sand, which had a three-fold difference in RD, the average increase in ultimate pullout capacity for all diameters and lengths was 1.40 times.
Nailing length has a significant effect on the ultimate pullout capacity, with an increase in length, greater skin resistance is mobilized along the nailing length. The length increase from 4 to 12 m results in an average ultimate pullout increase of nine times.
Increasing the nailing diameter provides a larger surface area for the load transfer and increases the pullout force linearly, with an increase in diameter from 105 to 203 mm, resulting in an average increase of 1.9 times.
When the nailing is inclined up to an angle of 30°, the pullout capacity increases due to the generation of the additional lateral resistance, however, the inclination beyond 45°, there is a reduction in the effective area of soil around the nailing resulting in a decrease of the pullout forces. An increase of 9.5% was observed for the 30° inclination. Future experimental studies are warranted to validate the findings regarding the effect of inclination on the grouted soil nailing pullout in the current study.
At the ultimate pullout point of the grouted soil nail, slip surface angle conforms to the Rankine earth pressure theory. The depth and width of the active and passive zones, measured from the center, remain consistent and unaffected by nail length, diameter, or sand relative densities, with values of 0.2D and 0.25D, respectively.
When comparing the estimation of pullout forces using commonly employed methods such as FHWA and ESM, it becomes evident that there are significant variations in the accuracy of their predictions. This discrepancy results in scattered data points, highlighting the need for the development of a new predictive model for grouted soil nail pullout force estimation considering the effect of dilatancy, length, and diameter of nailing as well as angle of inclination. Future research is warranted on addressing these inconsistencies to enhance the reliability and precision of pullout force predictions.
The primary focus of the study is to investigate the effect of nail length, diameter, and inclination angle, on pullout behavior. As a simplification, this study simulates dry sand conditions, excluding the consideration of water content. However, future studies are warranted to explore the influence of water content on the pullout behavior of grouted soil nails in sandy soils.
Acknowledgments
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2021R1A6A1A03045185).
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Conflict of interest: The authors state no conflict of interest.
References
[1] Won M-S, Langcuyan CP. A 3D numerical analysis of the compaction effects on the behavior of panel-type MSE walls. Open Geosci. 2020;12(1):1704–24.10.1515/geo-2020-0192Search in Google Scholar
[2] Won M-S, Langcuyan CP, Choi G-H. Experimental study on the behavior of MSE wall having full-height rigid facing and segmental panel-type wall facing. Open Geosci. 2021;13(1):932–43.10.1515/geo-2020-0278Search in Google Scholar
[3] Sharma M, Samanta M, Sarkar S. Soil nailing: an effective slope stabilization technique. Landslides: Theory, practice and modelling. Cham: Springer; 2019. p. 173–99.10.1007/978-3-319-77377-3_9Search in Google Scholar
[4] Elias V, Juran I. Soil nailing for stabilization of highway slopes and excavations. FHWA-RD-89-198, Federal Highway Administration 1991.Search in Google Scholar
[5] Rawat S, Gupta AK, Sharma P. Sustainable remediation of failed slope using helical soil nails. J Mt Sci. 2023;20(6):1742–58.10.1007/s11629-023-7913-0Search in Google Scholar
[6] Sharma P, Rawat S, Gupta AK. Laboratory investigation of pullout behavior of hollow and solid shaft helical nail in frictional soil. Acta Geotech. 2021;16:1205–30.10.1007/s11440-020-01069-6Search in Google Scholar
[7] Sharma P, Rawat S, Gupta AK. Laboratory investigation of pullout behavior of open-ended pipe helical soil nail in frictional soil. Geotech Geol Eng. 2021;39:2903–14.10.1007/s10706-020-01666-ySearch in Google Scholar
[8] Sharma P, Rawat S, Gupta AK. Horizontal pullout behavior of novel open-ended pipe helical soil nail in frictional soil. Int J Civ Eng. 2020;18:1179–94.10.1007/s40999-020-00535-2Search in Google Scholar
[9] Chan R. Safe and green slopes – the holistic Hong Kong approach. Safe Green Slopes. 2005;1–26.Search in Google Scholar
[10] Yim K, Watkins A, Powell G. In situ ground reinforcement for slope improvement in Hong Kong. In: International geotechnical symposium on theory and practice of earth reinforcement; 1988.Search in Google Scholar
[11] Lazarte CA, Robinson H, Gomez JE, Baxter A, Cadden A, Berg RR, et al. Geotechnical engineering circular No. 7-soil nail walls. In: Federal Highway Administration. Office of Technology Applications. United States: US Department of Transportation; 2003.Search in Google Scholar
[12] Byrne R, Cotton J, Porterfield J, Wolschlag C, Ubeblacker G. Manual for design and construction monitoring of soil nail walls. United States: Federal Highway Administration; 1996.Search in Google Scholar
[13] Bruce D, Jewell R. Soil nailing: application and practice-part 1. Ground Eng. 1986;19(8):10–5.Search in Google Scholar
[14] Barret C, Chinchiolo J, Lobato C, Beard N. Case studies in roadway landslide repair along sides, river banks, bluffs, and other sensitive riparian areas. 62nd Highway Geology Symposium; July 2011.10.1061/9780784412121.068Search in Google Scholar
[15] Natoli E, Admiraal B, de Wit D, Yahyaoui A, de Vos WJ. River embankment strengthening by non-metallic nails: overview on a permanent soil nailing for flood protection. Innovative Infrastruct Solut. 2017;2:1–10.10.1007/s41062-017-0101-8Search in Google Scholar
[16] Chan RKS. Geoguide 7-Guide to soil nail design and construction, (GEO). Geotechnical Engineering Ofiice, Civil Engineering Development Department, Government of the Hong Kong Special Administrative Region, China, 2008.Search in Google Scholar
[17] Cartier G, JP G, Experiments and observations on soil nailing structures. In: Proc. 8th European Conference on Soil Mechanics and Foundation Engineering, Helsinki, 1983.Search in Google Scholar
[18] Schlosser F, Guilloux A. Le frottement dans le renforcement des sols. Rev Fr Géotech. 1981;16:65–77.10.1051/geotech/1981016065Search in Google Scholar
[19] Watkins A, Powell G. Soil nailing to existing slopes as landslip preventive works. Hong Kong Eng. 1992;20(3):20–7.Search in Google Scholar
[20] Chu L-M, Yin J-H. Comparison of interface shear strength of soil nails measured by both direct shear box tests and pullout tests. J Geotech Geoenviron Eng. 2005;131(9):1097–107.10.1061/(ASCE)1090-0241(2005)131:9(1097)Search in Google Scholar
[21] Ye X, Wang S, Zhang S, Xiao X, Xu F. The compaction effect on the performance of a compaction-grouted soil nail in sand. Acta Geotech. 2020;15:2983–95.10.1007/s11440-020-01017-4Search in Google Scholar
[22] Wang Q, Xinyu Y, Shanyong W, Scott WS, Daichao S. Experimental investigation of compaction-grouted soil nails. Can Geotech J. 2017;54(12):1728–38.10.1139/cgj-2017-0063Search in Google Scholar
[23] Kim Y, Lee S, Jeong S, Kim J. The effect of pressure-grouted soil nails on the stability of weathered soil slopes. Comput Geotech. 2013;49:253–63.10.1016/j.compgeo.2012.12.003Search in Google Scholar
[24] Su LJ, Chan TC, Yin JH, Shiu YK, Chiu SL. Influence of overburden pressure on soil–nail pullout resistance in a compacted fill. J Geotech Geoenviron Eng. 2008;134(9):1339–47.10.1061/(ASCE)1090-0241(2008)134:9(1339)Search in Google Scholar
[25] Ye X, Shanyong W, Qiong W, Scot W, Daichao S. Numerical and experimental studies of the mechanical behaviour for compaction grouted soil nails in sandy soil. Comput Geotech. 2017;90:202–14.10.1016/j.compgeo.2017.06.011Search in Google Scholar
[26] Ye X, Wang S, Xiao X, Sloan S, Sheng D. Numerical study for compaction-grouted soil nails with multiple grout bulbs. Int J Geomech. 2019;19(2):04018193.10.1061/(ASCE)GM.1943-5622.0001342Search in Google Scholar
[27] Brinkgreve R, Kumarswamy S, Swolfs WM. PLAXIS 2016. The Netherlands: PLAXIS bv; 2016.Search in Google Scholar
[28] Clayton CR. The standard penetration test (SPT): methods and use. Construction Industry Research and Information Association, Oxford; 1995.Search in Google Scholar
[29] Aggour MS, Radding WR. Standard penetration test (SPT) correction. Rep No MD02-007B48. Baltimore: Maryland State Highway Administration; 2001. p. 87.Search in Google Scholar
[30] Liao SS, Whitman RV. Overburden correction factors for SPT in sand. J Geotech Eng. 1986;112(3):373–7.10.1061/(ASCE)0733-9410(1986)112:3(373)Search in Google Scholar
[31] Wolff TF. Pile capacity prediction using parameter functions. in Predicted and observed axial behavior of piles. Results of a pile prediction symposium. ASCE; 1989.Search in Google Scholar
[32] Bowles JE. Foundation analysis and design. 5th ed. Singapore: McGraw-Hill, Inc.; 1997.Search in Google Scholar
[33] Lutenegger AJ, Remmes BD, Handy RL. Borehole shear test for stiff soil. J Geotech Eng Div. 1978;104(11):1403–7.10.1061/AJGEB6.0000718Search in Google Scholar
[34] ASTM. Standard Test Methods for Deep Foundation Elements Under Static Axial Tensile Load. 10.1520/D3689_D3689M-22, D3689/D3689M-22.Search in Google Scholar
[35] Kishida H. Stress distribution by model piles in sand. Soils Found. 1963;4(1):1–23.10.3208/sandf1960.4.1Search in Google Scholar
[36] Mohr O. Welche umstände bedingen die elastizitätsgrenze und den bruch eines materials? z ver deut ing. Quoted on. 1900;6:1524–30.Search in Google Scholar
[37] Nadai A. Theory of flow and racture of solids. New York: Mc-Graw-Hffl Book Company. Inc; 1950.Search in Google Scholar
[38] Hooke R. Lectures de potentia restitutiva, or of spring explaining the power of springing bodies. London, UK: John Martyn; 1678.Search in Google Scholar
[39] Kaczmarek D, Popielski P. Selected components of geological structures and numerical modelling of slope stability. Open Geosci. 2019;11(1):208–18.10.1515/geo-2019-0017Search in Google Scholar
[40] Franzius J, Potts D. Influence of mesh geometry on three-dimensional finite-element analysis of tunnel excavation. Int J Geomech. 2005;5(3):256–66.10.1061/(ASCE)1532-3641(2005)5:3(256)Search in Google Scholar
[41] Derrick N, Srivastava AK. Effect of mesh size on soil-structure interaction in finite element analysis. Int J Eng Res Technol. 2020;96:802–7.Search in Google Scholar
[42] Smulders C. An improved 3D embedded beam element with explicit interaction surface. Delft, The Netherlands: Delft University of Technology; 2018.Search in Google Scholar
[43] Brinkgreve R, Kumarswamy S, Swolfs W. Plaxis 3D anniversary edition manual. Delft, The Netherlands: Plaxis bv; 2015.Search in Google Scholar
[44] Brinkgreve R, Engin E, Engin HK. Validation of empirical formulas to derive model parameters for sands. Numer Methods Geotech Eng. 2010;137:142.Search in Google Scholar
[45] Bolton M. The strength and dilatancy of sands. Geotechnique. 1986;36(1):65–78.10.1680/geot.1986.36.1.65Search in Google Scholar
[46] Plumelle C, Schlosser F. A. French national research project on soil nailing: clouterre. Performance of reinforced soil structure. In: Proceedings of International Reinforced Soil Conference, Glassgow, 1990.Search in Google Scholar
[47] Guilloux A. Etude du frottement sable-armature en laboratoire. In: Proc. of Int. Conf. of Soil Reinforcement; 1979.Search in Google Scholar
[48] Meyerhof G. Uplift resistance of inclined anchors and piles. In: Proc. 8th ICSMFE; 1973.Search in Google Scholar
[49] Meyerhof G, Ranjan G. The bearing capacity of rigid piles under inclined loads in sand. III: Pile groups. Can Geotech J. 1973;10(3):428–38.10.1139/t73-036Search in Google Scholar
[50] Kyung D, Lee J. Uplift load-carrying capacity of single and group micropiles installed with inclined conditions. J Geotech Geoenviron Eng. 2017;143(8):04017031.10.1061/(ASCE)GT.1943-5606.0001700Search in Google Scholar
[51] Nazir A, Nasr A. Pullout capacity of batter pile in sand. J Adv Res. 2013;4(2):147–54.10.1016/j.jare.2012.04.001Search in Google Scholar PubMed PubMed Central
[52] Rankine WJM, II. On the stability of loose earth. Philos Trans R Soc Lond. 1857;147:9–27.10.1098/rstl.1857.0003Search in Google Scholar
[53] Chattopadhyay B, Pise P. Uplift capacity of piles in sand. J Geotech Eng. 1986;112(9):888–904.10.1061/(ASCE)0733-9410(1986)112:9(888)Search in Google Scholar
[54] Pise P. Pile foundations under uplift loads: an overview. Indian Geotech J. 2004;34(1):2–63.Search in Google Scholar
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- Petrography and mineralogy of the Oligocene flysch in Ionian Zone, Albania: Implications for the evolution of sediment provenance and paleoenvironment
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- Impact of AMSU-A and MHS radiances assimilation on Typhoon Megi (2016) forecasting
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- Measuring spatiotemporal accessibility to healthcare with multimodal transport modes in the dynamic traffic environment
- Mathematical model for conversion of groundwater flow from confined to unconfined aquifers with power law processes
- NSP variation on SWAT with high-resolution data: A case study
- Reconstruction of paleoglacial equilibrium-line altitudes during the Last Glacial Maximum in the Diancang Massif, Northwest Yunnan Province, China
- A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
- Determining the long-term impact area of coastal thermal discharge based on a harmonic model of sea surface temperature
- Origin of block accumulations based on the near-surface geophysics
- Investigating the limestone quarries as geoheritage sites: Case of Mardin ancient quarry
- Population genetics and pedigree geography of Trionychia japonica in the four mountains of Henan Province and the Taihang Mountains
- Performance audit evaluation of marine development projects based on SPA and BP neural network model
- Study on the Early Cretaceous fluvial-desert sedimentary paleogeography in the Northwest of Ordos Basin
- Detecting window line using an improved stacked hourglass network based on new real-world building façade dataset
- Automated identification and mapping of geological folds in cross sections
- Silicate and carbonate mixed shelf formation and its controlling factors, a case study from the Cambrian Canglangpu formation in Sichuan basin, China
- Ground penetrating radar and magnetic gradient distribution approach for subsurface investigation of solution pipes in post-glacial settings
- Research on pore structures of fine-grained carbonate reservoirs and their influence on waterflood development
- Risk assessment of rain-induced debris flow in the lower reaches of Yajiang River based on GIS and CF coupling models
- Multifractal analysis of temporal and spatial characteristics of earthquakes in Eurasian seismic belt
- Surface deformation and damage of 2022 (M 6.8) Luding earthquake in China and its tectonic implications
- Differential analysis of landscape patterns of land cover products in tropical marine climate zones – A case study in Malaysia
- DEM-based analysis of tectonic geomorphologic characteristics and tectonic activity intensity of the Dabanghe River Basin in South China Karst
- Distribution, pollution levels, and health risk assessment of heavy metals in groundwater in the main pepper production area of China
- Study on soil quality effect of reconstructing by Pisha sandstone and sand soil
- Understanding the characteristics of loess strata and quaternary climate changes in Luochuan, Shaanxi Province, China, through core analysis
- Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China
- Creating digital maps for geotechnical characteristics of soil based on GIS technology and remote sensing
- Changes in the course of constant loading consolidation in soil with modeled granulometric composition contaminated with petroleum substances
- Correlation between the deformation of mineral crystal structures and fault activity: A case study of the Yingxiu-Beichuan fault and the Milin fault
- Cognitive characteristics of the Qiang religious culture and its influencing factors in Southwest China
- Spatiotemporal variation characteristics analysis of infrastructure iron stock in China based on nighttime light data
- Interpretation of aeromagnetic and remote sensing data of Auchi and Idah sheets of the Benin-arm Anambra basin: Implication of mineral resources
- Building element recognition with MTL-AINet considering view perspectives
- Characteristics of the present crustal deformation in the Tibetan Plateau and its relationship with strong earthquakes
- Influence of fractures in tight sandstone oil reservoir on hydrocarbon accumulation: A case study of Yanchang Formation in southeastern Ordos Basin
- Nutrient assessment and land reclamation in the Loess hills and Gulch region in the context of gully control
- Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data
- Spatial variation of soil nutrients and evaluation of cultivated land quality based on field scale
- Lignin analysis of sediments from around 2,000 to 1,000 years ago (Jiulong River estuary, southeast China)
- Assessing OpenStreetMap roads fitness-for-use for disaster risk assessment in developing countries: The case of Burundi
- Transforming text into knowledge graph: Extracting and structuring information from spatial development plans
- A symmetrical exponential model of soil temperature in temperate steppe regions of China
- A landslide susceptibility assessment method based on auto-encoder improved deep belief network
- Numerical simulation analysis of ecological monitoring of small reservoir dam based on maximum entropy algorithm
- Morphometry of the cold-climate Bory Stobrawskie Dune Field (SW Poland): Evidence for multi-phase Lateglacial aeolian activity within the European Sand Belt
- Adopting a new approach for finding missing people using GIS techniques: A case study in Saudi Arabia’s desert area
- Geological earthquake simulations generated by kinematic heterogeneous energy-based method: Self-arrested ruptures and asperity criterion
- Semi-automated classification of layered rock slopes using digital elevation model and geological map
- Geochemical characteristics of arc fractionated I-type granitoids of eastern Tak Batholith, Thailand
- Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data
- Analysis of artificial intelligence approaches to predict the wall deflection induced by deep excavation
- Evaluation of the current in situ stress in the middle Permian Maokou Formation in the Longnüsi area of the central Sichuan Basin, China
- Utilizing microresistivity image logs to recognize conglomeratic channel architectural elements of Baikouquan Formation in slope of Mahu Sag
- Resistivity cutoff of low-resistivity and low-contrast pays in sandstone reservoirs from conventional well logs: A case of Paleogene Enping Formation in A-Oilfield, Pearl River Mouth Basin, South China Sea
- Examining the evacuation routes of the sister village program by using the ant colony optimization algorithm
- Spatial objects classification using machine learning and spatial walk algorithm
- Study on the stabilization mechanism of aeolian sandy soil formation by adding a natural soft rock
- Bump feature detection of the road surface based on the Bi-LSTM
- The origin and evolution of the ore-forming fluids at the Manondo-Choma gold prospect, Kirk range, southern Malawi
- A retrieval model of surface geochemistry composition based on remotely sensed data
- Exploring the spatial dynamics of cultural facilities based on multi-source data: A case study of Nanjing’s art institutions
- Study of pore-throat structure characteristics and fluid mobility of Chang 7 tight sandstone reservoir in Jiyuan area, Ordos Basin
- Study of fracturing fluid re-discharge based on percolation experiments and sampling tests – An example of Fuling shale gas Jiangdong block, China
- Impacts of marine cloud brightening scheme on climatic extremes in the Tibetan Plateau
- Ecological protection on the West Coast of Taiwan Strait under economic zone construction: A case study of land use in Yueqing
- The time-dependent deformation and damage constitutive model of rock based on dynamic disturbance tests
- Evaluation of spatial form of rural ecological landscape and vulnerability of water ecological environment based on analytic hierarchy process
- Fingerprint of magma mixture in the leucogranites: Spectroscopic and petrochemical approach, Kalebalta-Central Anatolia, Türkiye
- Principles of self-calibration and visual effects for digital camera distortion
- UAV-based doline mapping in Brazilian karst: A cave heritage protection reconnaissance
- Evaluation and low carbon ecological urban–rural planning and construction based on energy planning mechanism
- Modified non-local means: A novel denoising approach to process gravity field data
- A novel travel route planning method based on an ant colony optimization algorithm
- Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam
- Regional tectonic uplift indicated by geomorphological parameters in the Bahe River Basin, central China
- Computer information technology-based green excavation of tunnels in complex strata and technical decision of deformation control
- Spatial evolution of coastal environmental enterprises: An exploration of driving factors in Jiangsu Province
- A comparative assessment and geospatial simulation of three hydrological models in urban basins
- Aquaculture industry under the blue transformation in Jiangsu, China: Structure evolution and spatial agglomeration
- Quantitative and qualitative interpretation of community partitions by map overlaying and calculating the distribution of related geographical features
- Numerical investigation of gravity-grouted soil-nail pullout capacity in sand
- Analysis of heavy pollution weather in Shenyang City and numerical simulation of main pollutants
- Road cut slope stability analysis for static and dynamic (pseudo-static analysis) loading conditions
- Forest biomass assessment combining field inventorying and remote sensing data
- Late Jurassic Haobugao granites from the southern Great Xing’an Range, NE China: Implications for postcollision extension of the Mongol–Okhotsk Ocean
- Petrogenesis of the Sukadana Basalt based on petrology and whole rock geochemistry, Lampung, Indonesia: Geodynamic significances
- Numerical study on the group wall effect of nodular diaphragm wall foundation in high-rise buildings
- Water resources utilization and tourism environment assessment based on water footprint
- Geochemical evaluation of the carbonaceous shale associated with the Permian Mikambeni Formation of the Tuli Basin for potential gas generation, South Africa
- Detection and characterization of lineaments using gravity data in the south-west Cameroon zone: Hydrogeological implications
- Study on spatial pattern of tourism landscape resources in county cities of Yangtze River Economic Belt
- The effect of weathering on drillability of dolomites
- Noise masking of near-surface scattering (heterogeneities) on subsurface seismic reflectivity
- Query optimization-oriented lateral expansion method of distributed geological borehole database
- Petrogenesis of the Morobe Granodiorite and their shoshonitic mafic microgranular enclaves in Maramuni arc, Papua New Guinea
- Environmental health risk assessment of urban water sources based on fuzzy set theory
- Spatial distribution of urban basic education resources in Shanghai: Accessibility and supply-demand matching evaluation
- Spatiotemporal changes in land use and residential satisfaction in the Huai River-Gaoyou Lake Rim area
- Walkaway vertical seismic profiling first-arrival traveltime tomography with velocity structure constraints
- Study on the evaluation system and risk factor traceability of receiving water body
- Predicting copper-polymetallic deposits in Kalatag using the weight of evidence model and novel data sources
- Temporal dynamics of green urban areas in Romania. A comparison between spatial and statistical data
- Passenger flow forecast of tourist attraction based on MACBL in LBS big data environment
- Varying particle size selectivity of soil erosion along a cultivated catena
- Relationship between annual soil erosion and surface runoff in Wadi Hanifa sub-basins
- Influence of nappe structure on the Carboniferous volcanic reservoir in the middle of the Hongche Fault Zone, Junggar Basin, China
- Dynamic analysis of MSE wall subjected to surface vibration loading
- Pre-collisional architecture of the European distal margin: Inferences from the high-pressure continental units of central Corsica (France)
- The interrelation of natural diversity with tourism in Kosovo
- Assessment of geosites as a basis for geotourism development: A case study of the Toplica District, Serbia
- IG-YOLOv5-based underwater biological recognition and detection for marine protection
- Monitoring drought dynamics using remote sensing-based combined drought index in Ergene Basin, Türkiye
- Review Articles
- The actual state of the geodetic and cartographic resources and legislation in Poland
- Evaluation studies of the new mining projects
- Comparison and significance of grain size parameters of the Menyuan loess calculated using different methods
- Scientometric analysis of flood forecasting for Asia region and discussion on machine learning methods
- Rainfall-induced transportation embankment failure: A review
- Rapid Communication
- Branch fault discovered in Tangshan fault zone on the Kaiping-Guye boundary, North China
- Technical Note
- Introducing an intelligent multi-level retrieval method for mineral resource potential evaluation result data
- Erratum
- Erratum to “Forest cover assessment using remote-sensing techniques in Crete Island, Greece”
- Addendum
- The relationship between heat flow and seismicity in global tectonically active zones
- Commentary
- Improved entropy weight methods and their comparisons in evaluating the high-quality development of Qinghai, China
- Special Issue: Geoethics 2022 - Part II
- Loess and geotourism potential of the Braničevo District (NE Serbia): From overexploitation to paleoclimate interpretation