Home Measurements of induced vibrations due to steel pipe pile driving in Al-Fao soil: Effect of partial end closure
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Measurements of induced vibrations due to steel pipe pile driving in Al-Fao soil: Effect of partial end closure

  • Hamed S. Saher EMAIL logo , Haider S. Al-Jubair and Jaafar K. Ali
Published/Copyright: March 13, 2024
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Abstract

The experimental study investigated the impact of partially closing the end of a tubular steel pile with a diameter of 1.22 m on the induced driving vibrations. Long piles, spanning 50 m, were driven into Al-Fao soil using hammers from Daewoo Company – the PTC-110HD vibro-hammer for the initial 24 m of penetration and the IHC S-280 hydro-hammer for the remaining depth. This study established comparisons between open-end pipe (OEP) and partially closed pipe (PCP) piles concerning various parameters. These parameters included the number of blows, driving energy delivered by the hydro-hammer along the depth, and the peak soil particle velocity (PPV). Data collection was carried out using pile dynamic integral sensors for pile driving analysis, strain gauges placed along the lengths of the piles, and geophones positioned at varying distances from the pile. The results of the study unveiled a substantial effect of partial closure on the vibration response. Specifically, vibrations in the vicinity of the pile were amplified by a factor of 3–4 at depths ranging from 1 to 22 m where the vibro-hammer was employed, and by a factor of 2.5 to over 3 for the remaining depth where the hydro-hammer was utilized. Furthermore, it was observed that the rate of vibration attenuation was higher for the OEP when compared to the PCP. The vibrations are attenuated along the distance from the source where the PPV is decreased to approximately average (3.5% for OEP) and (2.3% for PCP) at a distance of around two times the penetration depth (50 m) for all embedded depths. Varied properties like stiffness, density, and damping in different soils can influence the propagation of vibrations differently. Nonetheless, as the distance from the vibration source increases, the impact of soil properties may diminish, and the vibrations tend to homogenize. Consequently, the statistical analyses yielded empirical equations that can be used for estimating vibrations in scenarios involving similar pile and hammer characteristics within comparable site conditions.

1 Introduction

The vibration produced from pile driving depends upon various factors such as hammer type, pile characteristics, and soil profile. This vibration has different effects on soil and nearby structures. Many codes (Such as Swedish Vibration Standard Table 1) were developed to assess and classify the intensity of vibration regarding its effects on humans, equipment, and structures [1,2] (Figure 1).

Table 1

Swedish vibration standard (Swedish Standard 1991) [1]

Type of structures Frequency bandwidth (Hz) Blast-induced PPV (mm/s) Traffic/machine-induced PPV (mm/s)
Steel or reinforced structures such as factories, retaining walls, bridges, steel towers, open channels, underground tunnels, and chambers 10–60 30
60–90 30–40
10–30 12
30–60 12–18
Buildings with foundation walls and floor in concrete, well in concrete or masonry, underground chambers, and tunnels with masonry linings 10–60 18
60–90 18–25
10–30 8
30–60 8–12
Building with masonry walls and wooden ceilings 10–60 12
60–90 12–18
10–30 5
30–60 5–8
Objects of historic interest or other sensitive structure 10–60 8
60–90 8–12
10–30 3
Figure 1 
               Location of the tested site in Al-Fao Port (google earth).
Figure 1

Location of the tested site in Al-Fao Port (google earth).

The process of transmitting the vibration is complicated, whenever the energy is transferred from the hammer into the pile, the vibration propagates into the soil due to the interaction between the soil and the pile. P-wave (pressure or spherical waves) generated from the pile toe S-wave (shear or cylindrical waves) generated from the pile’s skin, and R-wave (Rayleigh or surface wave) transferred along the ground [4] and extra waves are created due to reflection and refraction, as shown in Figure 2.

Figure 2 
               Mechanism of energy propagation into the soil (Grizi et al.) [5].
Figure 2

Mechanism of energy propagation into the soil (Grizi et al.) [5].

The vibrations, which come from the pile driving and transferred to the soil, are influenced by the soil properties (body and shear wave velocities into the soil, layer thickness, and attenuation rate), hammer characteristics (type, energy, and vibration frequency), and pile properties (shape, material, diameter, and wall thickness).

The wave velocities depend mainly on elastic properties and bulk density of the soil [3]; hence, the wave propagates faster in stiff soil than in soft one.

Grizi et al. [5] reported the concept of decrease in attenuation with the increase in the distance from the wave source and confirmed the wave propagation types which propagate from the pile tip (spherical body waves) and the pile circumference (cylindrical shear waves). Massarsch et al. [6] investigated the effect of the three important factors: frequency and amplitude of vibration, eccentric moment on vibratory driving, and resistance between pile and soil’s tip and skin, liquefaction areas (damage due to vibration) increase as both the load frequency and amplitude increase. Fattah et al. [8]. Massarsch and Fellenius [7] using the Swedish Standard and historical cases, reported the intensity and attenuation of ground vibration and the upper limits of vertical ground vibration by studying the energy and impedance of the driving pile in the specific stage during pile driving at a distance equal to two pile’s length. AlSheakayree et al. [9] investigated the wave propagation through the soil and the relationship between the distance from the vibration source and energy of the driving hammer and attenuation rate. Jongmans [10] found a new method to predict the ground motion produced from the driving pile by considering the geometry and dynamics characteristic of soil strata and source properties instead of previous studies that depend on empirical relationships.

The main aim of this study is to point out the influence of the presence of a shoe plate at the steel pile toe (partial end closure) on the vibration caused due to the impact of tabular steel pile, and also provide a guide to assess the safe distance from the vibration source to avoid the damage due to the impact of steel pile in Al-Fao city.

The research was carried out in a pile trial site established by the contractor, Daewoo, who provided all the necessary equipment, cranes, and hammers on the premises of the Al-Fao Grand Port. This site is supervised by Technital Company, and the necessary permissions were granted by the General Company of Ports (GCPI), the client overseeing the project.

2 Testing program

The pile testing program included ten piles of the same size. The measurements concerned two of the piles: pile #9 (open-end pipe; OEP) and #10 (partially closed pipe; PCP). The soil exploration for the test zone was conducted utilizing two boreholes (TBH-1 and TBH-2). Figures 3 and 4 and Table 2 illustrate the soil profile and layer properties.

Figure 3 
               Soil layers properties [11].
Figure 3

Soil layers properties [11].

Figure 4 
               Soil layers description and standard penetration test blow count [11].
Figure 4

Soil layers description and standard penetration test blow count [11].

Table 2

Soil layers properties [11]

Layer γ t (kN/m3) c u (kPa) φ′ (deg.) E (kPa)
Banking 19 0 26.8 15,930
A2 19 35 0 10,000
B 19 50 0 36,060
C and D 20 0 45 54,100

3 Pile properties

The PCP contains a 250 mm ring shoe plate of 25 mm thickness, as demonstrated in Figure 5 and Table 3 lists the pile properties.

Figure 5 
               Partial end closure by the shoe plate.
Figure 5

Partial end closure by the shoe plate.

Table 3

Pile properties

Pile no. Outer diameter (mm) Thickness (mm) Fy (MPa) E (MPa)
PCP and OEP 1,220 25 460 21 × 104

4 Equipment

Two types of hammers were used for pile driving: the first hammer, which is of a vibro-type, was used to penetrate the pile through a depth of 24 m; the second one, which is of a hydro-type, was used to accomplish the remaining penetration depth of 47 m. Hammer characteristics are described in Table 4.

Table 4

Hammers properties vibro-Hammer (PTC-110HD) and hydraulic-hammer (IHCS-280) manuals (Geotechnical Interpretative Report of the container terminal in Al-Fao) [12] and [13]

Total weight without clamp (ton) 13.3
Max. frequency (rpm) 1,380
Max. centrifugal force (kN) 2,300
Max. line pull capacity (kN) 1,200
Classification Unit Value
Operation data Max. net energy kJ 280
Min. net energy kJ 31
Blow rate (max. energy) Blows/min 45
Weight Ram Tons 14
Hammer (with ram in the air) Tons 31
Dimensions Hammer length mm 10,390
Hydraulic data Max. pressure bar 350

The load amplitude of the hydro-hammer with time and waveform (pile dynamic integral [PDI] and CAPWAP output) received by the piles are explained in Figure 6.

Figure 6 
               Load amplitude of the hydro-hammer with time and waveform for (a) OEP and (b) PCP (Geotechnical Interpretative Report of the Container Terminal in Al-Fao).
Figure 6

Load amplitude of the hydro-hammer with time and waveform for (a) OEP and (b) PCP (Geotechnical Interpretative Report of the Container Terminal in Al-Fao).

The devices used to measure the surface vibration are a set of geophones with a frequency capacity of 10 Hz, connected to a seismograph data logger (PASI 16S24-U, ultra-light) [14] with (24 channels), as shown in Figure 7.

Figure 7 
               A 10 Hz geophone and Seismograph (PASI) data logger with 24 channels.
Figure 7

A 10 Hz geophone and Seismograph (PASI) data logger with 24 channels.

Calibration was made to check the sensitivity of the geophones, as demonstrated in Figure 8 and Table 5. This operation is conducted in the Laboratory of the Mechanical Engineering, University of Basra [15].

Figure 8 
               Calibration of a geophone [15].
Figure 8

Calibration of a geophone [15].

Table 5

Calibration of a geophone sensitivity [15]

Test no. Frequency (Hz) V (Volts) Velocity (mm/s) Sensitivity (Vs/mm)
1 60 1.15 42.6 0.02699
2 30 0.58 21.5 0.02697
Average 45 0.865 32.05 0.02698

5 Methodology

The geophones were placed at variable distances (from the driven pile) representing a certain percentage of the total penetration depth. Different distribution patterns are adopted for the vibro- and hydro-hammers, as shown in Figures 9 and 10.

Figure 9 
               Distribution of geophones, in case of using the vibro-hammer.
Figure 9

Distribution of geophones, in case of using the vibro-hammer.

Figure 10 
               Distribution of geophones, in case of using the hydro-hammer.
Figure 10

Distribution of geophones, in case of using the hydro-hammer.

The variation in measuring distances reflects the response of the different soil profile layers. The difference in layout is imposed by the availability of the cable’s sensor length. The measurement at an angle of (45°) is associated with a horizontal distance equal to the embedment depth whereas, at 63.43°, it is associated with twice the embedment depth.

The geophones are placed on the surface of the site and connected to the data logger seismograph, and at the same time, it is connected to the battery, while the data cable connects the data logger to the laptop as shown in Figure 11.

Figure 11 
               Vibration monitoring system.
Figure 11

Vibration monitoring system.

6 Measurements and recordings

During driving the pile, the time of driving and frequency of vibration are recorded while the number of blows and energy were recorded manually or by the monitoring system in the case of hydro-hammer, as shown in Figure 12a.

Figure 12 
               (a) Monitoring system of the hydro-hammer and (b) PDI monitor.
Figure 12

(a) Monitoring system of the hydro-hammer and (b) PDI monitor.

On the other hand, PDI sensors recorded the required data such as force applied to the pile, velocity of the wave through the pile, maximum energy applied, and soil resistance and acceleration of the wave, as shown in Figure 12b.

Simultaneously, the distributed geophones on the site will detect a surface wave, as well as reflected and refracted body and shear waves, as shown in Figure 13.

Figure 13 
               Monitoring of the received waves in the site.
Figure 13

Monitoring of the received waves in the site.

The records were taken when the pile reached embedment depths of 1, 2.75, 5.5, 11, 16.5, and 22 m, in the case of using the vibro-hammer, and at embedment depths of 24.5, 29.4, 35.25, 41.13, 45.5, and 46 m in case of using the hydro-hammer. The various embedded depths in the soil profile have been carefully chosen at different depths for studying the impact of soil type on wave propagation and the depth of the pile's toe. These depths have been selected proportional to the final depth of the pile, resulting in a range of angles (2–63.43°) for the inclined distance from the pile's toe to the geophones on the ground. The maximum angle occurs when the horizontal distance is twice the embedded depth of the pile.

Finally, the whole raw data collected from the site from different monitoring systems are kept for analysis and study purposes. The software used to analyze the data are Geopsy, Matlab, USB Seismograph, and Excel.

7 Results and discussion

The number of blows is recorded in the site every 250 mm, for the hydro-hammer for both pile types, and the total energy of blows is taken from the hammer monitoring system. These records are shown in Figure 14.

Figure 14 
               Number of blows and energy vs depth for hydro-hammer.
Figure 14

Number of blows and energy vs depth for hydro-hammer.

The number of blows and total energy required to penetrate the PCP is increased suddenly at a depth of 30 m due to the presence of the dense sand stratum (with high resistance) which led to high vibration generation. Beyond depth (38 m), the number of blows and hammer energy fluctuates with a small range because the partial closure at the end of the PCP works as an anchor (fixed point), so the compressive stress along the pile will not be reflected as tensile stress when reaching the pile’s toe, instead, it will be reflected as compressive stress overlapping with previous compressive stress [16] and make the pile almost constantly driven into the soil, as shown in Figure 15. Contrary to the PCP, the number of blows and total energy is gradually increased for the OEP as the soil resistance increases.

Figure 15 
               Stress wave reflection in long piles [16].
Figure 15

Stress wave reflection in long piles [16].

The field measurements of voltage signals via geophones are converted to PPV and plotted against the distances from the vibration source, as demonstrated in Figures 16 and 17 for vibro- and hydro-hammers, respectively.

Figure 16 
               PPV vs distance from the source (vibro-hammer) (From this study).
Figure 16

PPV vs distance from the source (vibro-hammer) (From this study).

Figure 17 
               PPV vs distance from the source (hydro-hammer) (From this study).
Figure 17

PPV vs distance from the source (hydro-hammer) (From this study).

Tables 6 and 7 list the amplification ratios in PPV near the source, due to partially closing the pile end, for vibro- and hydro-hammers, respectively.

Table 6

PPV amplification ratios near pile (vibro-hammer). (This work)

Pile embedment depth (m) 1 2.75 22
Amplification ratio (%) 300 >300 >450
Table 7

PPV amplification ratios near pile (hydro-hammer) (This work)

Pile embedment depth (m) 26.5–29.5 Remaining depths
Amplification ratio (%) >300 >250

These ratios reduce as the distance from the source is increased for all penetration depths until they diminish at a distance close to 16.5 m from the pile.

During the driving of the pile on the site, a crawler crane (250 tons) was used to mount the pile. It stands near the path of geophones at a distance of about 16.5 m, and as a result, its weight is expected to affect the wave propagation in addition to the uneven level on the site, as shown in the photo of Figure 16, so the results showed that there is a slight effect for the crawler crane and uneven embankment level just in pile PCP due to the high vibration, where the vibration amplitude increases at the middle of the crane and decreases where the distance exceeds the crane location and its comeback to increase wherever the level of embankment starts to decrease.

In Figure 16, it can be observed that the amplification ratio of PCP compared to OEP ranges from 3.05 to 5.3 in the shallow depth and near the pile. This amplification is primarily due to the presence of a shoe plate at the toe of the PCP, which increases the surface area in contact with the ground. Consequently, this causes an elevation in vibrations during the pile driving process, primarily driven by surface vibrations. It is important to note that the effects of reflection and refraction play a lesser role in shallow depths compared to deeper ones. Beyond a distance of 3 m from the pile, the amplification ratio decreases significantly, ultimately becoming equivalent at greater distances.

Similarly, in Figure 17, a similar pattern is observed where the amplification ratio of PCP to OEP ranges from 2.6 to 5.04 in the shallow depth and the immediate vicinity of the pile. Once again, this effect is attributed to the presence of the shoe plate at the toe of the PCP, and the same principles discussed in the case of Figure 16 apply.

The increase in vibration due to partial end closure can be attributed to the increase in soil resistance at the pile toe and hence the increase in body (spherical) waves that are reflected by the pipe to the surface.

In general, the increase in vibration close to the pile is coming from the direct effect of the surface wave from the pile’s skin, while the increase in vibration in shallow depth rather than deeper nearby the pile is coming from the short path of the reflected wave from the pile’s toe. Hence, a reduction in attenuation within the soil (geometric damping) correlates with lower internal damping of the soil, which pertains to the energy transmitted through it, known as material damping (Mihalache) [17], where the wavelength is small nearby the source and it causes an increase in the frequency of the vibration. Consequently, the vibration diminishes and reaches a nearly uniform level over long distances with the vibro-hammer, as the distance from the source increases, the wavelength of the waves increases, while the frequency gradually diminishes due to the effect of distance. Simultaneously, the vibration intensity and amplitude tend to stabilize at a relatively consistent level far from the source. This phenomenon is influenced not only by material and geometrical damping but also by other factors contributing to energy dissipation during wave propagation.

After a considerable distance from the vibration source, the PPVs induced by the impact of the hammer driving a pile may converge to similar levels. This convergence is a result of various influencing factors during wave propagation:

  • Energy attenuation: As vibrations propagate through the ground, their energy dissipates due to various mechanisms like soil damping, scattering, and reflection. This dissipation leads to a decrease in vibration amplitudes, resulting in reduced PPVs. As vibrations travel over long distances, the energy loss is distributed, leading the vibrations to approach a similar magnitude.

  • Soil influence: The characteristics of the soil through which vibrations travel play a crucial role in their attenuation. Varied properties like stiffness, density, and damping in different soils can influence the propagation of vibrations differently. Nonetheless, as the distance from the vibration source increases, the impact of soil properties may diminish, and the vibrations tend to homogenize.

  • Wave reflection and interference: When vibrations encounter variations in soil conditions, such as changes in soil layers or impedance, they can experience wave reflections and interference. These phenomena may lead to fluctuations in vibration amplitudes at different distances from the source. Nevertheless, these effects tend to attenuate as the distance increases, resulting in more consistent vibrations.

  • The presence of water in the soil can act as a damping mechanism for vibrations. When the pile is driven into the soil above the water table, the soil's moisture content can help absorb and dissipate some of the energy from the impact, reducing the transmission of vibrations. This is particularly important for mitigating potential damage to nearby structures or the environment.

Statistical analyses are performed regarding the available data. Figure 18 shows the variation in energy with the embedment depth, whereas the vibration PPV vs scaled energy (√W/R) is demonstrated in Figure 19 for both pile types.

(1) W ( PCP ) = 270.27 D 6079.189 W ( OEP ) = 256.41 D 6189.744 ,

where W (PCP) and W (OEP) are blow energies for PCP and OEP, respectively. D is the depth of the embedded Pile (D > 24.5 m).

(2) PPV ( PCP ) = 3.1685 ln ( W ( PCP ) / R ) 9.6423 PPV ( OEP) = 1.1882 ln ( W ( OEP ) / R ) 2.4295 ,

where R is the radial distance from the pile (m) and PPV(PCP) and PPV(OEP) are peak particle velocities for PCP and OEP, respectively. The above equations are applicable for pile and hammer characteristics and soil profiles similar to their counterparts used in this study.

Figure 18 
               Blow energy vs pile embedment depth (From this study).
Figure 18

Blow energy vs pile embedment depth (From this study).

Figure 19 
               PPV vs scaled blow energy (From this study).
Figure 19

PPV vs scaled blow energy (From this study).

8 Conclusion

The following concluding remarks are drawn from this study:

  1. Although the vibro-hammer is used in the soft layers, the induced vibrations are higher than that of the hydro-hammer due to the high frequency, short wavelength, and shallow penetration use.

  2. The vibrations are attenuated along the distance from the source where the PPV is decreased to approximately average, 3.5% for OEP and 2.3% for PCP, at a distance of around two times the penetration depth (50 m) for all embedded depths when the vibro-hammer is used. The PPV is decreased to approximately average, 7.25% for OEP and 4.5% for PCP at a distance of around two times the penetration depth 100 m for all embedded depths when the hydro-hammer is used. The PCP exhibited more attenuation for both hammer types.

  3. Partially closing the pile tip amplified the vibrations from three times for 1 m penetration up to four times for 22 m penetration in the vicinity of the pile when the vibro-hammer is utilized. The amplification is decreased away from the pile.

  4. When the hydro-hammer is used, the amplification ratio is more than three times for penetrations of 26.5 m and 29.5 m and about 2.5 times in deeper penetrations. The amplification is decreased away from the pile.

  5. The amplitudes of vibration in the case of using the vibro-hammer tend to be close after a distance of 16 m from the source. The same response is noted in the case of the hydro-hammer, but at a distance of about 35 m from the source.

  6. Equations (1) and (2) are proposed for estimating the induced vibrations for similar pile, hammer characteristics, and site conditions.

9 Recommendations

This study offers a reference for determining a safe distance from the vibration source to mitigate the impact of vibrations in Al-Fao city, specifically in the context of vibro- and hydro-hammers. It is important to note that the equation developed for assessing vibrations with these particular hammers and steel materials may not be applicable for evaluating other sources of vibrations.

To enhance the study’s comprehensiveness, further research could be conducted, encompassing additional case studies within the same city. This might involve examining precast pipes and various types of hammers to provide a more comprehensive understanding of vibration effects.

Acknowledgements

We express our gratitude to GCPI Company for granting us access to the Daewoo Company site, where we obtained the necessary soil data. Additionally, we are thankful to the Technital Company for their assistance with the same matter.

  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 reasonable request from the corresponding author with the attached information.

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Received: 2023-09-03
Revised: 2023-10-19
Accepted: 2023-11-01
Published Online: 2024-03-13

© 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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  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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