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Papers by Bashar Tarawneh

Research paper thumbnail of Resilient Modulus · Artificial Neural Networks · Falling

prediction from FWD results using artificial neural network

Research paper thumbnail of Ground improvement using rapid impact compaction: case study in Dubai

Građevinar, 2014

Baugrund in der Nahe von Dubai angewandt worden, wo sich ein hoher Grundwasserstand zeigte. Stati... more Baugrund in der Nahe von Dubai angewandt worden, wo sich ein hoher Grundwasserstand zeigte. Statische Penetrationsversuche und die Berechnung von Setzungen sind vor und nach der Bodenverbesserung durchgefuhrt worden. Des Weiteren haben die Versuche eine erhohte Tragfahigkeit des Bodens und eine Verminderung der erwarteten Setzungen vorgezeigt.

Research paper thumbnail of Sustainability management of international development projects by International Non-Governmental Organizations: the case of INGOs working with refugees in Jordan

International Journal of Construction Management, 2020

Sustainability is one of the most significant challenges in International Development (ID) projec... more Sustainability is one of the most significant challenges in International Development (ID) projects. This research aims to study the role of Project Management (PM) tools in promoting the adoption ...

Research paper thumbnail of Correlation of Standard and Cone Penetration Tests: Case Study from Tekirdag (Turkey)

IOP Conference Series: Materials Science and Engineering, 2017

Research paper thumbnail of Risk assessment and update of inspection procedures for culverts

Sandra Mapel, P.E. (Traffic Engineer) James Roberts (Vice President) Disclaimer Statement: The co... more Sandra Mapel, P.E. (Traffic Engineer) James Roberts (Vice President) Disclaimer Statement: The contents of this report reflect the views of the authors who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official views of the Ohio Department of Transportation or the Federal Highway Administration. This report does not constitute a standard, specification or regulation.

Research paper thumbnail of Risk Factors Affecting Ground Improvement Work in the Gulf Corporation Council Countries

The Open Civil Engineering Journal, 2020

Aim: This research aims to identify the risk factors related to ground improvement projects in th... more Aim: This research aims to identify the risk factors related to ground improvement projects in the Gulf Corporation Council Countries (GCC). Background: Investigating and identifying those factors are essential to avoid schedule delay, cost overruns, diminished quality, and failure to achieve the project design requirements. Methods: A questionnaire was used to prioritize the possible risk factors that influence the ground improvement projects in the GCC. Results: Data were collected using a questionnaire completed by 120 respondents who work in the ground improvement industry in the GCC, including geotechnical engineers, technical managers, operation managers, project engineers, and project managers. Participants were asked three questions for each risk factor. Questions were about the impact, probability, and detection of the risk factor. Responses were analyzed using descriptive statistics, Responses' Score (R.S.), and Risk Priority Number (RPN). Conclusion: Five risk factors...

Research paper thumbnail of Gene expression programming model to predict driven pipe piles set-up

International Journal of Geotechnical Engineering

Research paper thumbnail of Estimation of pressuremeter modulus and limit pressure from Cone Penetration Test for desert sands

Construction and Building Materials

Research paper thumbnail of Empirical Formulas to Predict the Axial Capacity of Driven Piles Using in-Situ Dynamic Load Testing Data

International Journal of Machine Learning and Computing

Accurate estimation of the axial capacity of driven piles is crucial and leads to more economical... more Accurate estimation of the axial capacity of driven piles is crucial and leads to more economical design. In this research, Artificial neural networks (ANNs) and regression analysis (RA) have been used to develop empirical formulas to estimate piles' axial capacity using experimental dynamic load testing data. The RA model was further improved using a nonlinear fitting software "Eureqa", based on artificial programming. Three input variables were used to build the formulas; these variables are pile cross-sectional area, friction angle at pile tip, and effective stress at pile tip. Simplified mathematical expressions are presented to be used as empirical formulas to estimate piles' axial capacity. An optimize formula was developed using ANNs; it has a coefficient of determination (R 2) of 0.92, root mean square error (RMSE) of 478.11, and mean absolute error (MAE) of 366.67. On the other hand, the improved RA formula has R2 of 0.86, RMSE of 450.1, and MAE of 416.91. The results indicated that the predictions of ANNs formula are in close agreement with the experimental data.

Research paper thumbnail of Inspection and Risk Assessment of Mechanically Stabilized Earth Walls Supporting Bridge Abutments

Journal of Performance of Constructed Facilities

Research paper thumbnail of Liquefaction mitigation of desert sand using rapid impact compaction

Arabian Journal of Geosciences

Research paper thumbnail of Seismic Behavior of Hybrid Post-Tensioned Cast in Place Concrete Shear Walls

Arabian Journal for Science and Engineering

A hybrid concrete shear wall system is created by combining the conventional reinforced concrete ... more A hybrid concrete shear wall system is created by combining the conventional reinforced concrete construction with posttensioning technology. Such hybrid shear wall with continuous mild steel combined with post-tensioned (PT) steel provides superior restoring, energy dissipation, and ductile behavior over larger lateral displacements. Hence, both mild steel and high-strength post-tensioning steel contribute to the flexural strength. This leads to a reduction in the total area of steel when compared to the conventional reinforced concrete shear wall. When using a hybrid system, the lateral load response varies based on the ratio of post-tensioning steel to the mild steel reinforcement. In this research, the seismic behavior of hybrid unbonded PT concrete shear walls is investigated. Finite element analysis using ABAQUS for multi-hybrid shear walls of different ratios of post-tensioning steel area to mild steel area is performed. Results show that the large nonlinear displacements in PT shear wall may be reduced by using more mild steel reinforcement in the hybrid unbonded PT system. The post-tensioning steel provides a restoring force that eliminates the permanent deformation after cyclic load and reduces the displacement peaks during a cycle. However, PT walls incorporating only post-tensioning bars do not provide a sufficient amount of energy dissipation to limit seismic displacement adequately. By increasing the mild steel reinforcement area concerning the post-tensioning steel area, seismic energy can be dissipated by the yielding of mild steel.

Research paper thumbnail of Intelligent Computing Based Formulas to Predict the Settlement of Shallow Foundations on Cohesionless Soils

The Open Civil Engineering Journal

Introduction: Although it is a regular duty of geotechnical engineers to evaluate how much shallo... more Introduction: Although it is a regular duty of geotechnical engineers to evaluate how much shallow foundation settles in the granular soil, there is no well-approved formula for this task. The intent of this research is to develop a formula that is adequately simple to be used in routine geotechnical engineering work but complete enough to address the behavior of granular soil associated with the settlement issue. Methods: Cone penetration test and foundation load test data were used to generate a formula that can predict the settlement. Genetic Programming (GP) based Symbolic Regression (GP-SR) and artificial neural networks were used to develop an optimized formula. Settlements were also calculated using the finite method and compared to the results of the developed formula. Results and Conclusion: Two formulas were developed using SR, and several models were developed using ANN. ANN model 1 has the highest R2 value (0.93) and the lowest MSE (0.16) among all developed ANN and GP-S...

Research paper thumbnail of Finite-element model to simulate ground-improvement technique of rapid impact compaction

Proceedings of the Institution of Civil Engineers - Ground Improvement

Research paper thumbnail of Field Evaluation and Behavior of the Soil Improved using Dynamic Replacement

Case Studies in Construction Materials

Research paper thumbnail of Load testing and settlement of shallow foundation on desert sands

Proceedings of the Institution of Civil Engineers - Geotechnical Engineering

Research paper thumbnail of Structural Behavior of Concrete Box Culverts under Deep Burial

Journal of Pipeline Systems Engineering and Practice

Culverts have been used to transmit surface drainage under roadways in place of typical short-spa... more Culverts have been used to transmit surface drainage under roadways in place of typical short-span bridges because they provide an economical construction system. In this paper, a numerical study using a finite-element method is presented to study the behavior of reinforced concrete box culverts (CBC) with different dimensions and thicknesses under different soil fill heights. Four box-culvert sections were selected with width-to-height ratios of 2∶1, 1∶1, 2∶3, and 1∶2. Each section has a constant clear hydraulic area of 6.7 × 10 6 mm 2. Different thicknesses of CBC were investigated for each section. Hyperbolic stress-strain parameters for nonlinear finite-element analysis in soil masses were used. The required area of steel and deflection of culvert were calculated from each finite-element run. It is concluded that the CBC with a width-to-height ratio of 2∶1 is suitable for all soil fill heights examined (4.6, 9.1, 13.7, and 18.3 m). Finally, the paper presents a simple linear regression formula to predict section thickness for any soil fill height when using CBC-1.

Research paper thumbnail of Lessons learned from 11 million m2 of dynamic compaction and replacement

Proceedings of the Institution of Civil Engineers - Ground Improvement

Research paper thumbnail of Exploring BRT Ridership Drivers: An Empirical Study on European Systems

Jordan Journal of Civil Engineering, 2012

Bus Rapid Transit (BRT) systems are becoming internationally popular as a viable public transport... more Bus Rapid Transit (BRT) systems are becoming internationally popular as a viable public transport option. However, it is not exactly clear which features of BRT systems affect the demand. The hypothesis tested in this paper is whether the BRT design features contribute to higher ridership above and beyond any increase in service frequency when compared to conventional bus routes. An empirical methodology is adopted using multiple regression analysis to analyze data collected on 40 European BRT systems, covering the operation, infrastructure, traffic management and user demand for the selected systems, in addition to other factors like speed and design features. Two models were developed using regression analysis. The models highlighted the three variables which significantly impact the demand: population density, operation span and average commercial speed. The paper concludes with a discussion of the various influences on BRT ridership and recommendations for future research.

Research paper thumbnail of Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Geoscience Frontiers, 2016

Research paper thumbnail of Resilient Modulus · Artificial Neural Networks · Falling

prediction from FWD results using artificial neural network

Research paper thumbnail of Ground improvement using rapid impact compaction: case study in Dubai

Građevinar, 2014

Baugrund in der Nahe von Dubai angewandt worden, wo sich ein hoher Grundwasserstand zeigte. Stati... more Baugrund in der Nahe von Dubai angewandt worden, wo sich ein hoher Grundwasserstand zeigte. Statische Penetrationsversuche und die Berechnung von Setzungen sind vor und nach der Bodenverbesserung durchgefuhrt worden. Des Weiteren haben die Versuche eine erhohte Tragfahigkeit des Bodens und eine Verminderung der erwarteten Setzungen vorgezeigt.

Research paper thumbnail of Sustainability management of international development projects by International Non-Governmental Organizations: the case of INGOs working with refugees in Jordan

International Journal of Construction Management, 2020

Sustainability is one of the most significant challenges in International Development (ID) projec... more Sustainability is one of the most significant challenges in International Development (ID) projects. This research aims to study the role of Project Management (PM) tools in promoting the adoption ...

Research paper thumbnail of Correlation of Standard and Cone Penetration Tests: Case Study from Tekirdag (Turkey)

IOP Conference Series: Materials Science and Engineering, 2017

Research paper thumbnail of Risk assessment and update of inspection procedures for culverts

Sandra Mapel, P.E. (Traffic Engineer) James Roberts (Vice President) Disclaimer Statement: The co... more Sandra Mapel, P.E. (Traffic Engineer) James Roberts (Vice President) Disclaimer Statement: The contents of this report reflect the views of the authors who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official views of the Ohio Department of Transportation or the Federal Highway Administration. This report does not constitute a standard, specification or regulation.

Research paper thumbnail of Risk Factors Affecting Ground Improvement Work in the Gulf Corporation Council Countries

The Open Civil Engineering Journal, 2020

Aim: This research aims to identify the risk factors related to ground improvement projects in th... more Aim: This research aims to identify the risk factors related to ground improvement projects in the Gulf Corporation Council Countries (GCC). Background: Investigating and identifying those factors are essential to avoid schedule delay, cost overruns, diminished quality, and failure to achieve the project design requirements. Methods: A questionnaire was used to prioritize the possible risk factors that influence the ground improvement projects in the GCC. Results: Data were collected using a questionnaire completed by 120 respondents who work in the ground improvement industry in the GCC, including geotechnical engineers, technical managers, operation managers, project engineers, and project managers. Participants were asked three questions for each risk factor. Questions were about the impact, probability, and detection of the risk factor. Responses were analyzed using descriptive statistics, Responses' Score (R.S.), and Risk Priority Number (RPN). Conclusion: Five risk factors...

Research paper thumbnail of Gene expression programming model to predict driven pipe piles set-up

International Journal of Geotechnical Engineering

Research paper thumbnail of Estimation of pressuremeter modulus and limit pressure from Cone Penetration Test for desert sands

Construction and Building Materials

Research paper thumbnail of Empirical Formulas to Predict the Axial Capacity of Driven Piles Using in-Situ Dynamic Load Testing Data

International Journal of Machine Learning and Computing

Accurate estimation of the axial capacity of driven piles is crucial and leads to more economical... more Accurate estimation of the axial capacity of driven piles is crucial and leads to more economical design. In this research, Artificial neural networks (ANNs) and regression analysis (RA) have been used to develop empirical formulas to estimate piles' axial capacity using experimental dynamic load testing data. The RA model was further improved using a nonlinear fitting software "Eureqa", based on artificial programming. Three input variables were used to build the formulas; these variables are pile cross-sectional area, friction angle at pile tip, and effective stress at pile tip. Simplified mathematical expressions are presented to be used as empirical formulas to estimate piles' axial capacity. An optimize formula was developed using ANNs; it has a coefficient of determination (R 2) of 0.92, root mean square error (RMSE) of 478.11, and mean absolute error (MAE) of 366.67. On the other hand, the improved RA formula has R2 of 0.86, RMSE of 450.1, and MAE of 416.91. The results indicated that the predictions of ANNs formula are in close agreement with the experimental data.

Research paper thumbnail of Inspection and Risk Assessment of Mechanically Stabilized Earth Walls Supporting Bridge Abutments

Journal of Performance of Constructed Facilities

Research paper thumbnail of Liquefaction mitigation of desert sand using rapid impact compaction

Arabian Journal of Geosciences

Research paper thumbnail of Seismic Behavior of Hybrid Post-Tensioned Cast in Place Concrete Shear Walls

Arabian Journal for Science and Engineering

A hybrid concrete shear wall system is created by combining the conventional reinforced concrete ... more A hybrid concrete shear wall system is created by combining the conventional reinforced concrete construction with posttensioning technology. Such hybrid shear wall with continuous mild steel combined with post-tensioned (PT) steel provides superior restoring, energy dissipation, and ductile behavior over larger lateral displacements. Hence, both mild steel and high-strength post-tensioning steel contribute to the flexural strength. This leads to a reduction in the total area of steel when compared to the conventional reinforced concrete shear wall. When using a hybrid system, the lateral load response varies based on the ratio of post-tensioning steel to the mild steel reinforcement. In this research, the seismic behavior of hybrid unbonded PT concrete shear walls is investigated. Finite element analysis using ABAQUS for multi-hybrid shear walls of different ratios of post-tensioning steel area to mild steel area is performed. Results show that the large nonlinear displacements in PT shear wall may be reduced by using more mild steel reinforcement in the hybrid unbonded PT system. The post-tensioning steel provides a restoring force that eliminates the permanent deformation after cyclic load and reduces the displacement peaks during a cycle. However, PT walls incorporating only post-tensioning bars do not provide a sufficient amount of energy dissipation to limit seismic displacement adequately. By increasing the mild steel reinforcement area concerning the post-tensioning steel area, seismic energy can be dissipated by the yielding of mild steel.

Research paper thumbnail of Intelligent Computing Based Formulas to Predict the Settlement of Shallow Foundations on Cohesionless Soils

The Open Civil Engineering Journal

Introduction: Although it is a regular duty of geotechnical engineers to evaluate how much shallo... more Introduction: Although it is a regular duty of geotechnical engineers to evaluate how much shallow foundation settles in the granular soil, there is no well-approved formula for this task. The intent of this research is to develop a formula that is adequately simple to be used in routine geotechnical engineering work but complete enough to address the behavior of granular soil associated with the settlement issue. Methods: Cone penetration test and foundation load test data were used to generate a formula that can predict the settlement. Genetic Programming (GP) based Symbolic Regression (GP-SR) and artificial neural networks were used to develop an optimized formula. Settlements were also calculated using the finite method and compared to the results of the developed formula. Results and Conclusion: Two formulas were developed using SR, and several models were developed using ANN. ANN model 1 has the highest R2 value (0.93) and the lowest MSE (0.16) among all developed ANN and GP-S...

Research paper thumbnail of Finite-element model to simulate ground-improvement technique of rapid impact compaction

Proceedings of the Institution of Civil Engineers - Ground Improvement

Research paper thumbnail of Field Evaluation and Behavior of the Soil Improved using Dynamic Replacement

Case Studies in Construction Materials

Research paper thumbnail of Load testing and settlement of shallow foundation on desert sands

Proceedings of the Institution of Civil Engineers - Geotechnical Engineering

Research paper thumbnail of Structural Behavior of Concrete Box Culverts under Deep Burial

Journal of Pipeline Systems Engineering and Practice

Culverts have been used to transmit surface drainage under roadways in place of typical short-spa... more Culverts have been used to transmit surface drainage under roadways in place of typical short-span bridges because they provide an economical construction system. In this paper, a numerical study using a finite-element method is presented to study the behavior of reinforced concrete box culverts (CBC) with different dimensions and thicknesses under different soil fill heights. Four box-culvert sections were selected with width-to-height ratios of 2∶1, 1∶1, 2∶3, and 1∶2. Each section has a constant clear hydraulic area of 6.7 × 10 6 mm 2. Different thicknesses of CBC were investigated for each section. Hyperbolic stress-strain parameters for nonlinear finite-element analysis in soil masses were used. The required area of steel and deflection of culvert were calculated from each finite-element run. It is concluded that the CBC with a width-to-height ratio of 2∶1 is suitable for all soil fill heights examined (4.6, 9.1, 13.7, and 18.3 m). Finally, the paper presents a simple linear regression formula to predict section thickness for any soil fill height when using CBC-1.

Research paper thumbnail of Lessons learned from 11 million m2 of dynamic compaction and replacement

Proceedings of the Institution of Civil Engineers - Ground Improvement

Research paper thumbnail of Exploring BRT Ridership Drivers: An Empirical Study on European Systems

Jordan Journal of Civil Engineering, 2012

Bus Rapid Transit (BRT) systems are becoming internationally popular as a viable public transport... more Bus Rapid Transit (BRT) systems are becoming internationally popular as a viable public transport option. However, it is not exactly clear which features of BRT systems affect the demand. The hypothesis tested in this paper is whether the BRT design features contribute to higher ridership above and beyond any increase in service frequency when compared to conventional bus routes. An empirical methodology is adopted using multiple regression analysis to analyze data collected on 40 European BRT systems, covering the operation, infrastructure, traffic management and user demand for the selected systems, in addition to other factors like speed and design features. Two models were developed using regression analysis. The models highlighted the three variables which significantly impact the demand: population density, operation span and average commercial speed. The paper concludes with a discussion of the various influences on BRT ridership and recommendations for future research.

Research paper thumbnail of Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Geoscience Frontiers, 2016