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Studying the lateral displacement of retaining wall supporting sandy soil under dynamic loads

  • Mohammed Y. Fattah EMAIL logo , Hussein H. Hussein , Mohammed F. Aswad and Reham E. Hamdi
Published/Copyright: March 8, 2024
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Abstract

When Rankine or Coulomb theories are used to design a retaining wall, it is accepted that the retaining wall will experience a lateral displacement. By allowing the wall to move laterally, the earth pressure decreases on the active side of the wall and wall and earth pressure increases on the passive side, and therefore, more economical walls can be obtained when the lateral displacement is allowed. This lateral displacement is usually not calculated when designing a retaining wall. An experimental investigation is carried out to study the lateral displacement of a retaining wall subjected to dynamic loads with different load amplitude vibration, absolute frequencies, backfill sand relative densities, and different distances between the retaining wall and the loading source. The objectives of this study are to trace the lateral displacement of retaining wall under dynamic loads other than earthquakes such as the traffic load caused by trucks or railroads by direct measurement of displacements. The model footing used in this study is square. On a cohesionless soil, the tests were carried out using a dynamic load. The studied variables were as follows: three load amplitudes (0.25, 0.5, and 1 ton), three vibration frequencies (0.5, 1, and 2 Hz), two relative densities of sandy soil (30% loose sand and 70% dense sand), and three different distances between the foundation and the retaining wall. Observations show that the lateral displacement increased by increasing the load amplitude and decreased by increasing the distance between the foundation and the retaining wall. There is insignificant consequence of frequency on the cumulative lateral displacement. The lateral displacement decreased by increasing the density of sandy soil.

1 Introduction

Retaining wall system is one of the most significant civil engineering structures developed to provide lateral support of soil and is broadly utilized in highway walls, mines, underground structures, military defense, and so on. Retaining systems consist mainly of a retaining wall and backfill soil; the engineering essence of retaining wall is to keep the retained soil in certain shape and prevent it from falling (stability), or to restrain the deformation of the wall and the backfill to maintain its service function (serviceability). To estimate the stability of these structures, an exact estimation of the lateral earth pressure is significant.

The issue of assessing seismically initiated lateral earth pressures on retaining structures has been first tended to during the 1920s in spearheading examination carried out in Japan Okabe [1], Mononobe and Matsuo [2]. Since then, this problem has received periodic attention from the research community (e.g., Seed and Whitman [3]; Nazarian and Hadjian [4]; Prakash [5]; Raheem and Fattah [6]; and Al-Juari et al. [7]); however, it had relatively little impact on the design engineering practice until relatively recently.

According to Zhang et al. [8], the seismic coefficient and the method of wall movement influence the height at which P_E is applied. For rotating wall movement modes, the size of max has a big impact on height. The resulting force is discovered to act at a height of 0.3 to 0.4 H in each example.

The conductance of lateral displacement on sandy soil subjected to dynamic loads was treated by several researchers who demonstrated the soil’s response to a dynamic load using a theoretical method using finite element analysis.

Akhlaghi and Nakhodchi [9] investigated the dynamic response of cantilever retaining walls to seismic loads. They explore how the mechanical characteristics of the soil and wall affect the dynamic behavior of a cantilever retaining wall using the Plaxis software. Additionally, the effects of the source vibration’s amplitude and frequency on the response of the wall have been investigated and discussed. The findings show that wall displacement increases with increasing soil density and harmonic load amplitude, whereas wall dynamic response reduces with increasing soil values for friction angle, cohesion, elasticity, and damping.

Ling et al. [10] conducted parametric research on the behavior of reinforced soil retaining walls under earthquake loading by finite element analysis. They conducted a general analysis of the lateral displacement of retaining structures subjected to dynamic stresses. The study’s findings showed that the top of the wall had the most lateral displacement and that the amplitude of harmonic loads increased, while the dynamic response of the wall decreased as friction angle, cohesion, elasticity, and soil damping values increased.

Chowdhury and Dasgupta [11] developed a comprehensive analytical approach based on modal analysis that considers the impact of the wall’s temporal period, a factor that has largely been disregarded by other studies. Thus, the work was an effort to reconsider this age-old subject and find answers to many of the unresolved problems listed earlier. Almost every form of soil and loading condition that might be present in a real-world design is also addressed, including liquefaction, whose effects on the wall undoubtedly require further study.

Salman et al. [12] assumed that wall displacement increases as the soil’s Poisson’s ratio grows in value. The retaining wall’s behavior is influenced by the different Poisson’s ratio estimations of the foundation soil.

Jose et al. [13] conducted an experimental investigation using retaining wall lateral displacement. When the Rankine or Coulomb theories are used to construct a retaining wall, it is already realistic to expect lateral displacement. This alternative is not frequently considered when designing a retaining wall. This study describes a method for estimating the retaining wall lateral displacement in addition to the soil s friction angle, cohesion, elasticity, and damping.

The impact of earthquake features on the long-term displacement of a cantilever retaining wall was examined by Bakr and Ahmad [14]. The study mainly focused on assessing the impact of earthquake characteristics and seismic ground pressure on permanent seismic displacement. The results revealed that the Newmark block sliding approach overestimates permanent seismic displacement. The most important scenario, causing maximum permanent displacement, is when the ground motion is of maximum capacity but has minimum frequency content. Earth seismic pressure has a low impact on permanent displacement.

Bakr and Ahmad [15] provided a novel finite element model-based analysis and development of a link between seismic active and passive earth pressure and stiff retaining wall movement. For soil modeling, a hardening soil with small strain model with Rayleigh damping has been used. The finite element model was validated using centrifuge test results that were already accessible in the literature. Unique design charts illustrating the relationship between seismic ground pressure and wall movement have been proposed. The seismic active earth pressure is found to be independent of the seismic input motion and hence does not depend on wall movement during an earthquake, whereas the seismic passive earth pressure is greatly affected by it. It is abundantly obvious from a comparison of the study’s findings with those obtained using the Mononobe–Okabe and pseudo-dynamic approaches that the latter overestimates seismic ground pressure. The suggested design charts and other findings offer the design engineers a crucial hint.

The objective of this study is to trace the lateral displacement of retaining wall under dynamic loads other than earthquakes such as the traffic load caused by trucks or railroads by direct measurement of displacements.

2 Laboratory work

2.1 Soil properties

The soil used in this study is a natural cohesionless soil (sand) imported from Karbala city, Iraq. The entire sample was sieved using sieve No. 10 (2.0 mm), and then, the sieved sample was subjected to conventional tests to find out the soil’s physical characteristics. According to the Unified Soil Classification System, the soil is categorized as SP-SM soil. In Table 1, a summary of the test results is provided along with each test’s criteria. The size distribution of the soil grains used is shown in Figure 1.

Table 1

Physical parameters of the sand used in the experiments

Parameter Results Specification
Specific gravity (G s) 2.65 ASTM D854 [16]
Gravel %, >4.75 mm 0 ASTM D422 [17]
Sand %, 0.075–4.75 mm 96 ASTM D422 [17]
Clay and silt %, <0.075 mm 4 ASTM D422 [17]
D 60, mm 0.5 ASTM D422 [17]
D 30, mm 0.3 ASTM D422 [17]
D 10, mm 0.17 ASTM D422 [17]
Coefficient of uniformity, Cu 2.94 ASTM D422 [17]
Coefficient of curvature, Cc 1.06 ASTM D422 [17]
Minimum dry unit weight, kNm3 15.5 ASTM D4253 [18]
Maximum dry unit weight, kN/m3 17.2 ASTM D 4254 [19]
Maximum void ratio, e max 0.68
Minimum void ratio, e min 0.51
Soil classification SP-SM ASTM D2487 [20]
Figure 1 
                  Grain size distribution for the used soil.
Figure 1

Grain size distribution for the used soil.

2.2 Steel container

A steel container with plan dimensions of 1,500 mm in length, 900 mm in width, and 1,000 mm in height was used for the experiments. The container was composed entirely of 5 mm thick steel plate. The container was constructed from five carefully welded sections, one of which served as the base and the other four as its four sides. The angles at the borders of the long sides served as external bracing. Three channels of 50 mm web and 25 mm flange were used to externally strengthen the base.

2.3 Load application device

In order to investigate the experimental distribution of lateral stress behind the wall due to the dynamic load, the vibration loading equipment was developed and constructed in the laboratories of the University of Technology, specifically in the Soil Mechanics Laboratory. The device was designed with a load capacity of 60 kN. This load capacity was achieved using hydraulic compressor system [21], as shown in Figure 2.

Figure 2 
                  Vibratory loading device.  1. loading frame made of steel, 2. electrical hydraulic system, 3. load spreader plate, 4. instruments for measuring settlement, 5. system for data collection and logging, and 6. container made of steel.
Figure 2

Vibratory loading device. 1. loading frame made of steel, 2. electrical hydraulic system, 3. load spreader plate, 4. instruments for measuring settlement, 5. system for data collection and logging, and 6. container made of steel.

The following components comprise the load application devices:

1. loading frame made of steel, 2. electrical hydraulic system, 3. load spreader plate, 4. instruments for measuring settlement, 5. system for data collection and logging, and 6. container made of steel (1,500 × 900 × 1,000 mm).

2.4 Steel loading frame

A steel frame was designed and built to support and ensure the verticality of the hydraulic jack used to apply the centrally concentrated load. The steel frame is made up mostly of four columns and four beams. Each column and each beam are composed of steel and have a square cross-section area of 100 mm by 100 mm and a thickness of 4 mm. The steel frame’s measurements (length × width × height) are 1,700 mm × 700 mm × 1,700 mm.

2.5 Electrical hydraulic system

A hydraulic steel tank with a capacity of 70 L is included in the system. The tank has two holes: the upper one for filling the oil and the bottom one for discharge. The tank contains a gear-type hydraulic pump with a set geometrical volume that produces a discharge of around 12 L/min at a maximum pressure of 150 bars.

2.6 Loading spreader plate

For the application of the dynamic load, a square balance (200 mm × 200 mm) made of solid steel that was 20 mm thick was utilized. The dynamic load that has been imposed on this footing corresponds to the traffic load on railways or vehicles.

2.7 Data acquisition and logging structure

The data collection system is used to detect and sense the displacement that occurs throughout the testing, allowing the tester to obtain a large number of readings in a short period of time. It is also used to select the specific frequency utilized in the test. The data acquisition system is made up of a programmable logic controller (PLC), which is a high-tech processing unit and can be defined as a digital computer utilized for electro-mechanical automation processes. Data are digitally analyzed by this type of equipment. A PLC device with an LCD touch-screen display is used to view input and output data using simplified ladder logic.

2.8 Gravity wall model

The gravity wall was made of steel and had a width of 16 mm at the top and 60 mm at the bottom, a height of 700 mm, and a length of 850 mm. These dimensions were determined in accordance with Bowels’ [22] criteria, as shown in Figure 3. The steel retaining wall is depicted in Figure 4.

Figure 3 
                  Design specifications for a cantilever retaining wall [22].
Figure 3

Design specifications for a cantilever retaining wall [22].

Figure 4 
                  Manufactured retaining wall.
Figure 4

Manufactured retaining wall.

2.9 Instrumentation

A time-off-light sensor is employed. It is a laser distance sensor using a 940 nm laser. It can accurately measure distances up to 1,250 mm. The sensor can report distances of up to 2 m (6.6 ft) with a precision of 1 mm, although its actual range and accuracy (noise) are strongly dependent on ambient circumstances, target features such as reflectance and size, as well as sensor design. The sensor’s accuracy is specified to be between 3 and 10% under ideal conditions. The UNO board used, to begin with, hardware and coding. Soil arrangement, retaining wall, and laser displacement placement in the box are exhibited in Figures 46. A displacement transducer that was integrated into the hydraulic jack body was used to measure vertical settlements. This settlement indicates the average settlement for the footing.

Figure 5 
                  Placing the laser displacement in front of wall in the box.
Figure 5

Placing the laser displacement in front of wall in the box.

Figure 6 
                  Model footing and retaining wall during the test.
Figure 6

Model footing and retaining wall during the test.

A total of 54 model experiments were carried out on sandy soil using two different relative densities: 30 and 70%, which correspond to loose and dense sand, respectively. Following the completion of the sandy soil preparation, the top surface was leveled to get the closest possible flat surface. The model’s top surface was then used to acquire the footing. After the planning of footing superficially layer of sand, the dynamic load was applied all through a foreordained arrangement. The use of dynamic load proceeds up to 10,000 cycles. The distance-measuring instruments were placed in front of the wall, two of them on the right and left and at a height of 200 mm and the middle at a height of 300 mm from the height of the box.

The load wave was half sine wave (only positive), it was examined by taking 20 readings/s under the load lever, ensuring that only the positive portion of the load frequency is applied when a broader load is applied. This ensures that the device applies a pocket dynamic load at various frequencies. The way to represent this load is with a frequency, rotary, or rail track. These machines’ loading patterns are all more or less sinusoidal and can be admired as a sine wave.

(1) F ( t ) = a sin ω t ,

where a is the amplitude dynamic load and ω is the frequency.

When compared to the typical frequency of the railroad track, which is around 8–10 Hz, this frequency is regarded as low. However, this frequency was connected to the hydraulic loading system’s pressure and flow capacity. The frequency being employed falls within the range of reciprocating machine frequencies.

3 Results of the model test subjected to dynamic load

3.1 Influence of dynamic loads on lateral displacement

The relationship between the lateral displacement and the number of cycles for different load amplitudes for particular models is shown in Figures 712. The data presented obviously show that the amount of lateral displacement grew as the load amplitude rose. It can be shown that the accumulated lateral displacement is only slightly impacted by recurrence. By increasing the relative density, the values of lateral displacement decreased. Likewise, by increasing the distance between the foundation and the retaining wall, the values of lateral displacement were reduced.

Figure 7 
                  Lateral displacements vs cycle number for various load amplitudes with relative density D
                     r = 30% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.
Figure 7

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 30% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.

Figure 8 
                  Lateral displacements vs cycle number for various load amplitudes with relative density D
                     r = 70% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.
Figure 8

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 70% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.

Figure 9 
                  Lateral displacements vs cycle number for various load amplitudes with relative density D
                     r = 30% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.
Figure 9

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 30% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.

Figure 10 
                  Lateral displacements vs cycle number for various load amplitudes with relative density D
                     r = 70% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.
Figure 10

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 70% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.

Figure 11 
                  Lateral displacements vs cycle number for various load amplitudes with relative density D
                     r = 30% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.
Figure 11

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 30% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.

Figure 12 
                  Lateral displacements vs cycle number for various load amplitudes with relative density D
                     r = 70% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.
Figure 12

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 70% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.

3.1.1 1. Lateral displacement at depth 200 mm from the box top level (active side)

Figures 712 illustrate the result of lateral displacement versus number of cycle on loose and dense sand of relative densities D r = 30% and D r = 70% by laser displacement placed at depth 200 mm of the box on the left points in front of retaining wall.

3.1.2 2. Lateral displacement at depth 200 mm from the box top level (passive side)

Figures 1318 illustrate the results of lateral displacement versus number of cycles for model walls on loose and dense sand of relative densities D r = 30% and D r = 70% measured by laser displacement placed at depth 200 mm of the box on the right point in front of the retaining wall.

Figure 13 
                     Lateral displacements vs cycle number for various load amplitudes with relative density D
                        r = 30% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.
Figure 13

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 30% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.

Figure 14 
                     Lateral displacements vs cycle number for various load amplitudes with relative density D
                        r = 70% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.
Figure 14

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 70% and frequency 0.5 Hz when the load is applied at a distance equal to 0.2 H.

Figure 15 
                     Lateral displacements vs cycle number for various load amplitudes with relative density D
                        r = 30% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.
Figure 15

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 30% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.

Figure 16 
                     Lateral displacements vs cycle number for various load amplitudes with relative density D
                        r = 70% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.
Figure 16

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 70% and frequency 1 Hz when the load is applied at a distance equal to 0.2 H.

Figure 17 
                     Lateral displacements vs cycle number for various load amplitudes with relative density D
                        r = 30% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.
Figure 17

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 30% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.

Figure 18 
                     Lateral displacements vs cycle number for various load amplitudes with relative density D
                        r = 70% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.
Figure 18

Lateral displacements vs cycle number for various load amplitudes with relative density D r = 70% and frequency 2 Hz when the load is applied at a distance equal to 0.2 H.

The values of the maximum lateral displacement at depth 200 mm at the right and left points of the box in front of the wall are shown in Tables 2 and 3 for the two relative densities of 30 and 70%, respectively.

Table 2

Lateral displacements versus load relationship for D r = 30% and different frequencies

Load (ton) Lateral displacements
0.5 Hz 1 Hz 2 Hz
0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H
0.25 5.85 5.53 4.1 7.25 4.96 4.87 5.88 5.57 5.3
0.5 9.3 8.03 5 9.55 7.69 5.79 7.2 6.75 6.39
1 15.35 11.03 8.1 15.4 8.69 7.02 9.03 8.15 7.79
Table 3

Lateral displacements versus load relationship for D r = 70% and different frequencies

Load (ton) Lateral displacements
0.5 Hz 1 Hz 2 Hz
0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H
0.25 5.3 4.56 3.71 5.52 4.81 4.6 4.74 4.39 4.15
0.5 5.7 5.01 4.6 6.93 6.1 5.4 6.19 6 4.86
1 10.73 10.3 9.34 11.18 11.06 7 11.7 7.85 6.73

Tables 4 and 5 condense the values of the maximum lateral displacement at depth 300 mm at the middle point of the box in front of the wall for the two relative densities of 30 and 70%, respectively.

Table 4

Lateral displacements versus load relationship for D r = 30% and different frequencies

Load (ton) Lateral displacements
0.5 Hz 1 Hz 2 Hz
0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H
0.25 2.4 2.01 2 2.32 2.11 1.78 2.5 2.1 1.8
0.5 3.08 2.9 2.7 4.3 3.05 2.2 3.7 2.67 2.06
1 7.34 4.5 3 4.8 3.68 2.8 6.4 3.98 3.75
Table 5

Lateral displacements versus load relationship for D r = 70% and different frequencies

Load (ton) Lateral displacements
0.5 Hz 1 Hz 2 Hz
0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H 0.2 H 0.3 H 0.4 H
0.25 2.03 1.92 1.8 2 1.74 1.7 2.39 1.74 1.55
0.5 2.29 2.24 2.11 2.5 2.37 2.18 3.5 2.26 1.9
1 6.18 3.08 2.7 4.17 2.59 2.35 4.65 3.9 2.91

The lateral displacement caused by the active thrust on the wall will rise as the dynamic load amplitude increases, and this will be accompanied by a vertical displacement (settlement) of the backfill soil. The lateral active earth pressure on the wall, and thus, the lateral displacement will decrease as the relative density of the backfill soil rises; this, in turn, reduces soil settlement.

From figures and tables, it can be noted that the maximum lateral displacement happened at the greatest load amplitude and when the distance between foundation load and retaining wall is 0.2 H. The maximum lateral displacement measured by three laser displacements placed before the retaining wall revealed that the greatest displacement happened at a depth 200 mm from the top of the retaining wall. This was also concluded by Hoe et al. [23] where they used finite element analysis to investigate the behavior of reinforced soil retaining walls under seismic loads. It was concluded that the maximum lateral displacement occurred at the top of the wall.

By referring to the aforementioned tables, it is observed that the values of lateral displacement are gradually increased by increasing the load when fixing other variables in these tables. For example, at a density of 30%, frequency of 0.5 Hz, and distance between the foundation and retaining wall of 0.2H, the lateral displacements under the load amplitudes of 0.5 ton and load of 1 ton are greater than the lateral displacement under the load amplitude of 0.25 ton in the rate of 37.1 and 61.9%, respectively. Also, at a density of 70%, frequency of 0.5 Hz, and distance between the foundation and retaining wall of 0.2H, the lateral displacements under load amplitudes of 0.5 ton and load of 1 ton are greater than the lateral displacement under load amplitude of 0.25 ton in the rate of 7.5 and 50.6%, respectively. According to the figures and tables, there is a slight rise in the induced lateral displacement when the load amplitude is increased from 0.25 to 0.5 ton, but it is greater when the load amplitude is increased to 1 ton.

This was also observed by Bakr and Ahmad [14], who showed that the most important scenario, causing the maximum permanent displacement, is when the ground motion is of maximum capacity but has minimum frequency content. Earth seismic pressure has a low impact on permanent displacement.

4 Conclusions

The following conclusions could be drawn based on the results of the model experiments carried out on the various elements to assess the impact of the dynamic load on the lateral displacement of cohesionless backfill soil behind the retaining wall under dynamic load:

1. The lateral displacement rose as the load amplitude grew and reduced as the foundation’s distance from the retaining wall increased.

2. There is a little impact of load frequency on the combined lateral displacement.

3. By raising the relative density of the soil of the backfill, the lateral displacement was reduced.

  1. Funding information: Authors declare that the manuscript was done depending on the personal effort of the author, and there is no funding effort from any side or organization.

  2. Conflict of interest: The authors state no conflict of interest.

  3. Data availability statement: Most datasets generated and analyzed in this study are comprised in this submitted manuscript. The other datasets are available on a reasonable request from the corresponding author with the attached information.

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Received: 2023-09-23
Revised: 2023-10-20
Accepted: 2023-10-30
Published Online: 2024-03-08

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  11. Impact of insulation on energy consumption and CO2 emissions in high-rise commercial buildings at various climate zones
  12. Advanced autopilot design with extremum-seeking control for aircraft control
  13. Adaptive multidimensional trust-based recommendation model for peer to peer applications
  14. Effects of CFRP sheets on the flexural behavior of high-strength concrete beam
  15. Enhancing urban sustainability through industrial synergy: A multidisciplinary framework for integrating sustainable industrial practices within urban settings – The case of Hamadan industrial city
  16. Advanced vibrant controller results of an energetic framework structure
  17. Application of the Taguchi method and RSM for process parameter optimization in AWSJ machining of CFRP composite-based orthopedic implants
  18. Improved correlation of soil modulus with SPT N values
  19. Technologies for high-temperature batch annealing of grain-oriented electrical steel: An overview
  20. Assessing the need for the adoption of digitalization in Indian small and medium enterprises
  21. A non-ideal hybridization issue for vertical TFET-based dielectric-modulated biosensor
  22. Optimizing data retrieval for enhanced data integrity verification in cloud environments
  23. Performance analysis of nonlinear crosstalk of WDM systems using modulation schemes criteria
  24. Nonlinear finite-element analysis of RC beams with various opening near supports
  25. Thermal analysis of Fe3O4–Cu/water over a cone: a fractional Maxwell model
  26. Radial–axial runner blade design using the coordinate slice technique
  27. Theoretical and experimental comparison between straight and curved continuous box girders
  28. Effect of the reinforcement ratio on the mechanical behaviour of textile-reinforced concrete composite: Experiment and numerical modeling
  29. Experimental and numerical investigation on composite beam–column joint connection behavior using different types of connection schemes
  30. Enhanced performance and robustness in anti-lock brake systems using barrier function-based integral sliding mode control
  31. Evaluation of the creep strength of samples produced by fused deposition modeling
  32. A combined feedforward-feedback controller design for nonlinear systems
  33. Effect of adjacent structures on footing settlement for different multi-building arrangements
  34. Analyzing the impact of curved tracks on wheel flange thickness reduction in railway systems
  35. Review Articles
  36. Mechanical and smart properties of cement nanocomposites containing nanomaterials: A brief review
  37. Applications of nanotechnology and nanoproduction techniques
  38. Relationship between indoor environmental quality and guests’ comfort and satisfaction at green hotels: A comprehensive review
  39. Communication
  40. Techniques to mitigate the admission of radon inside buildings
  41. Erratum
  42. Erratum to “Effect of short heat treatment on mechanical properties and shape memory properties of Cu–Al–Ni shape memory alloy”
  43. Special Issue: AESMT-3 - Part II
  44. Integrated fuzzy logic and multicriteria decision model methods for selecting suitable sites for wastewater treatment plant: A case study in the center of Basrah, Iraq
  45. Physical and mechanical response of porous metals composites with nano-natural additives
  46. Special Issue: AESMT-4 - Part II
  47. New recycling method of lubricant oil and the effect on the viscosity and viscous shear as an environmentally friendly
  48. Identify the effect of Fe2O3 nanoparticles on mechanical and microstructural characteristics of aluminum matrix composite produced by powder metallurgy technique
  49. Static behavior of piled raft foundation in clay
  50. Ultra-low-power CMOS ring oscillator with minimum power consumption of 2.9 pW using low-voltage biasing technique
  51. Using ANN for well type identifying and increasing production from Sa’di formation of Halfaya oil field – Iraq
  52. Optimizing the performance of concrete tiles using nano-papyrus and carbon fibers
  53. Special Issue: AESMT-5 - Part II
  54. Comparative the effect of distribution transformer coil shape on electromagnetic forces and their distribution using the FEM
  55. The complex of Weyl module in free characteristic in the event of a partition (7,5,3)
  56. Restrained captive domination number
  57. Experimental study of improving hot mix asphalt reinforced with carbon fibers
  58. Asphalt binder modified with recycled tyre rubber
  59. Thermal performance of radiant floor cooling with phase change material for energy-efficient buildings
  60. Surveying the prediction of risks in cryptocurrency investments using recurrent neural networks
  61. A deep reinforcement learning framework to modify LQR for an active vibration control applied to 2D building models
  62. Evaluation of mechanically stabilized earth retaining walls for different soil–structure interaction methods: A review
  63. Assessment of heat transfer in a triangular duct with different configurations of ribs using computational fluid dynamics
  64. Sulfate removal from wastewater by using waste material as an adsorbent
  65. Experimental investigation on strengthening lap joints subjected to bending in glulam timber beams using CFRP sheets
  66. A study of the vibrations of a rotor bearing suspended by a hybrid spring system of shape memory alloys
  67. Stability analysis of Hub dam under rapid drawdown
  68. Developing ANFIS-FMEA model for assessment and prioritization of potential trouble factors in Iraqi building projects
  69. Numerical and experimental comparison study of piled raft foundation
  70. Effect of asphalt modified with waste engine oil on the durability properties of hot asphalt mixtures with reclaimed asphalt pavement
  71. Hydraulic model for flood inundation in Diyala River Basin using HEC-RAS, PMP, and neural network
  72. Numerical study on discharge capacity of piano key side weir with various ratios of the crest length to the width
  73. The optimal allocation of thyristor-controlled series compensators for enhancement HVAC transmission lines Iraqi super grid by using seeker optimization algorithm
  74. Numerical and experimental study of the impact on aerodynamic characteristics of the NACA0012 airfoil
  75. Effect of nano-TiO2 on physical and rheological properties of asphalt cement
  76. Performance evolution of novel palm leaf powder used for enhancing hot mix asphalt
  77. Performance analysis, evaluation, and improvement of selected unsignalized intersection using SIDRA software – Case study
  78. Flexural behavior of RC beams externally reinforced with CFRP composites using various strategies
  79. Influence of fiber types on the properties of the artificial cold-bonded lightweight aggregates
  80. Experimental investigation of RC beams strengthened with externally bonded BFRP composites
  81. Generalized RKM methods for solving fifth-order quasi-linear fractional partial differential equation
  82. An experimental and numerical study investigating sediment transport position in the bed of sewer pipes in Karbala
  83. Role of individual component failure in the performance of a 1-out-of-3 cold standby system: A Markov model approach
  84. Implementation for the cases (5, 4) and (5, 4)/(2, 0)
  85. Center group actions and related concepts
  86. Experimental investigation of the effect of horizontal construction joints on the behavior of deep beams
  87. Deletion of a vertex in even sum domination
  88. Deep learning techniques in concrete powder mix designing
  89. Effect of loading type in concrete deep beam with strut reinforcement
  90. Studying the effect of using CFRP warping on strength of husk rice concrete columns
  91. Parametric analysis of the influence of climatic factors on the formation of traditional buildings in the city of Al Najaf
  92. Suitability location for landfill using a fuzzy-GIS model: A case study in Hillah, Iraq
  93. Hybrid approach for cost estimation of sustainable building projects using artificial neural networks
  94. Assessment of indirect tensile stress and tensile–strength ratio and creep compliance in HMA mixes with micro-silica and PMB
  95. Density functional theory to study stopping power of proton in water, lung, bladder, and intestine
  96. A review of single flow, flow boiling, and coating microchannel studies
  97. Effect of GFRP bar length on the flexural behavior of hybrid concrete beams strengthened with NSM bars
  98. Exploring the impact of parameters on flow boiling heat transfer in microchannels and coated microtubes: A comprehensive review
  99. Crumb rubber modification for enhanced rutting resistance in asphalt mixtures
  100. Special Issue: AESMT-6
  101. Design of a new sorting colors system based on PLC, TIA portal, and factory I/O programs
  102. Forecasting empirical formula for suspended sediment load prediction at upstream of Al-Kufa barrage, Kufa City, Iraq
  103. Optimization and characterization of sustainable geopolymer mortars based on palygorskite clay, water glass, and sodium hydroxide
  104. Sediment transport modelling upstream of Al Kufa Barrage
  105. Study of energy loss, range, and stopping time for proton in germanium and copper materials
  106. Effect of internal and external recycle ratios on the nutrient removal efficiency of anaerobic/anoxic/oxic (VIP) wastewater treatment plant
  107. Enhancing structural behaviour of polypropylene fibre concrete columns longitudinally reinforced with fibreglass bars
  108. Sustainable road paving: Enhancing concrete paver blocks with zeolite-enhanced cement
  109. Evaluation of the operational performance of Karbala waste water treatment plant under variable flow using GPS-X model
  110. Design and simulation of photonic crystal fiber for highly sensitive chemical sensing applications
  111. Optimization and design of a new column sequencing for crude oil distillation at Basrah refinery
  112. Inductive 3D numerical modelling of the tibia bone using MRI to examine von Mises stress and overall deformation
  113. An image encryption method based on modified elliptic curve Diffie-Hellman key exchange protocol and Hill Cipher
  114. Experimental investigation of generating superheated steam using a parabolic dish with a cylindrical cavity receiver: A case study
  115. Effect of surface roughness on the interface behavior of clayey soils
  116. Investigated of the optical properties for SiO2 by using Lorentz model
  117. Measurements of induced vibrations due to steel pipe pile driving in Al-Fao soil: Effect of partial end closure
  118. Experimental and numerical studies of ballistic resistance of hybrid sandwich composite body armor
  119. Evaluation of clay layer presence on shallow foundation settlement in dry sand under an earthquake
  120. Optimal design of mechanical performances of asphalt mixtures comprising nano-clay additives
  121. Advancing seismic performance: Isolators, TMDs, and multi-level strategies in reinforced concrete buildings
  122. Predicted evaporation in Basrah using artificial neural networks
  123. Energy management system for a small town to enhance quality of life
  124. Numerical study on entropy minimization in pipes with helical airfoil and CuO nanoparticle integration
  125. Equations and methodologies of inlet drainage system discharge coefficients: A review
  126. Thermal buckling analysis for hybrid and composite laminated plate by using new displacement function
  127. Investigation into the mechanical and thermal properties of lightweight mortar using commercial beads or recycled expanded polystyrene
  128. Experimental and theoretical analysis of single-jet column and concrete column using double-jet grouting technique applied at Al-Rashdia site
  129. The impact of incorporating waste materials on the mechanical and physical characteristics of tile adhesive materials
  130. Seismic resilience: Innovations in structural engineering for earthquake-prone areas
  131. Automatic human identification using fingerprint images based on Gabor filter and SIFT features fusion
  132. Performance of GRKM-method for solving classes of ordinary and partial differential equations of sixth-orders
  133. Visible light-boosted photodegradation activity of Ag–AgVO3/Zn0.5Mn0.5Fe2O4 supported heterojunctions for effective degradation of organic contaminates
  134. Production of sustainable concrete with treated cement kiln dust and iron slag waste aggregate
  135. Key effects on the structural behavior of fiber-reinforced lightweight concrete-ribbed slabs: A review
  136. A comparative analysis of the energy dissipation efficiency of various piano key weir types
  137. Special Issue: Transport 2022 - Part II
  138. Variability in road surface temperature in urban road network – A case study making use of mobile measurements
  139. Special Issue: BCEE5-2023
  140. Evaluation of reclaimed asphalt mixtures rejuvenated with waste engine oil to resist rutting deformation
  141. Assessment of potential resistance to moisture damage and fatigue cracks of asphalt mixture modified with ground granulated blast furnace slag
  142. Investigating seismic response in adjacent structures: A study on the impact of buildings’ orientation and distance considering soil–structure interaction
  143. Improvement of porosity of mortar using polyethylene glycol pre-polymer-impregnated mortar
  144. Three-dimensional analysis of steel beam-column bolted connections
  145. Assessment of agricultural drought in Iraq employing Landsat and MODIS imagery
  146. Performance evaluation of grouted porous asphalt concrete
  147. Optimization of local modified metakaolin-based geopolymer concrete by Taguchi method
  148. Effect of waste tire products on some characteristics of roller-compacted concrete
  149. Studying the lateral displacement of retaining wall supporting sandy soil under dynamic loads
  150. Seismic performance evaluation of concrete buttress dram (Dynamic linear analysis)
  151. Behavior of soil reinforced with micropiles
  152. Possibility of production high strength lightweight concrete containing organic waste aggregate and recycled steel fibers
  153. An investigation of self-sensing and mechanical properties of smart engineered cementitious composites reinforced with functional materials
  154. Forecasting changes in precipitation and temperatures of a regional watershed in Northern Iraq using LARS-WG model
  155. Experimental investigation of dynamic soil properties for modeling energy-absorbing layers
  156. Numerical investigation of the effect of longitudinal steel reinforcement ratio on the ductility of concrete beams
  157. An experimental study on the tensile properties of reinforced asphalt pavement
  158. Self-sensing behavior of hot asphalt mixture with steel fiber-based additive
  159. Behavior of ultra-high-performance concrete deep beams reinforced by basalt fibers
  160. Optimizing asphalt binder performance with various PET types
  161. Investigation of the hydraulic characteristics and homogeneity of the microstructure of the air voids in the sustainable rigid pavement
  162. Enhanced biogas production from municipal solid waste via digestion with cow manure: A case study
  163. Special Issue: AESMT-7 - Part I
  164. Preparation and investigation of cobalt nanoparticles by laser ablation: Structure, linear, and nonlinear optical properties
  165. Seismic analysis of RC building with plan irregularity in Baghdad/Iraq to obtain the optimal behavior
  166. The effect of urban environment on large-scale path loss model’s main parameters for mmWave 5G mobile network in Iraq
  167. Formatting a questionnaire for the quality control of river bank roads
  168. Vibration suppression of smart composite beam using model predictive controller
  169. Machine learning-based compressive strength estimation in nanomaterial-modified lightweight concrete
  170. In-depth analysis of critical factors affecting Iraqi construction projects performance
  171. Behavior of container berth structure under the influence of environmental and operational loads
  172. Energy absorption and impact response of ballistic resistance laminate
  173. Effect of water-absorbent polymer balls in internal curing on punching shear behavior of bubble slabs
  174. Effect of surface roughness on interface shear strength parameters of sandy soils
  175. Evaluating the interaction for embedded H-steel section in normal concrete under monotonic and repeated loads
  176. Estimation of the settlement of pile head using ANN and multivariate linear regression based on the results of load transfer method
  177. Enhancing communication: Deep learning for Arabic sign language translation
  178. A review of recent studies of both heat pipe and evaporative cooling in passive heat recovery
  179. Effect of nano-silica on the mechanical properties of LWC
  180. An experimental study of some mechanical properties and absorption for polymer-modified cement mortar modified with superplasticizer
  181. Digital beamforming enhancement with LSTM-based deep learning for millimeter wave transmission
  182. Developing an efficient planning process for heritage buildings maintenance in Iraq
  183. Design and optimization of two-stage controller for three-phase multi-converter/multi-machine electric vehicle
  184. Evaluation of microstructure and mechanical properties of Al1050/Al2O3/Gr composite processed by forming operation ECAP
  185. Calculations of mass stopping power and range of protons in organic compounds (CH3OH, CH2O, and CO2) at energy range of 0.01–1,000 MeV
  186. Investigation of in vitro behavior of composite coating hydroxyapatite-nano silver on 316L stainless steel substrate by electrophoretic technic for biomedical tools
  187. A review: Enhancing tribological properties of journal bearings composite materials
  188. Improvements in the randomness and security of digital currency using the photon sponge hash function through Maiorana–McFarland S-box replacement
  189. Design a new scheme for image security using a deep learning technique of hierarchical parameters
  190. Special Issue: ICES 2023
  191. Comparative geotechnical analysis for ultimate bearing capacity of precast concrete piles using cone resistance measurements
  192. Visualizing sustainable rainwater harvesting: A case study of Karbala Province
  193. Geogrid reinforcement for improving bearing capacity and stability of square foundations
  194. Evaluation of the effluent concentrations of Karbala wastewater treatment plant using reliability analysis
  195. Adsorbent made with inexpensive, local resources
  196. Effect of drain pipes on seepage and slope stability through a zoned earth dam
  197. Sediment accumulation in an 8 inch sewer pipe for a sample of various particles obtained from the streets of Karbala city, Iraq
  198. Special Issue: IETAS 2024 - Part I
  199. Analyzing the impact of transfer learning on explanation accuracy in deep learning-based ECG recognition systems
  200. Effect of scale factor on the dynamic response of frame foundations
  201. Improving multi-object detection and tracking with deep learning, DeepSORT, and frame cancellation techniques
  202. The impact of using prestressed CFRP bars on the development of flexural strength
  203. Assessment of surface hardness and impact strength of denture base resins reinforced with silver–titanium dioxide and silver–zirconium dioxide nanoparticles: In vitro study
  204. A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks
  205. Modification of the 5D Lorenz chaotic map with fuzzy numbers for video encryption in cloud computing
  206. Special Issue: 51st KKBN - Part I
  207. Evaluation of static bending caused damage of glass-fiber composite structure using terahertz inspection
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