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Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Di xue qian yuan., 2017, Vol.8 (1), p.199-204

Tarawneh, Bashar

2017

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Regression versus artificial neural networks: Predicting pile setup from empirical data

KSCE Journal of Civil Engineering, 2014, 18(4), , pp.1018-1027

2014

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Gene expression programming model to predict driven pipe piles set-up

International journal of geotechnical engineering, 2020-07, Vol.14 (5), p.538-544

Tarawneh, Bashar

2020

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Field evaluation and behavior of the soil improved using dynamic replacement

Case Studies in Construction Materials, 2019-06, Vol.10, p.e00214, Article e00214

2019

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Optimization of resilient modulus prediction from FWD results using artificial neural network

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2014-01, Vol.58 (2), p.143-154

2014

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Pipe pile setup: Database and prediction model using artificial neural network

Soils and foundations, 2013-08, Vol.53 (4), p.607-615

Tarawneh, Bashar

2013

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Neural Network Approach to Condition Assessment of Highway Culverts: Case Study in Ohio

Journal of infrastructure systems, 2013-12, Vol.19 (4), p.409-414

2013

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Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

地学前缘（英文版）, 2017, Vol.8 (1), p.197-202

Bashar Tarawneh

2017

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Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

地学前缘：英文版, 2017 (1), p.199-204

Bashar Tarawneh

2017

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Political Reform and Its Impact on Representing the Bahraini Political Associations in the Elections of the House of Representatives (2018-2002)

The Journal of Social Sciences Research, 2020-07 (67), p.691-699

Al-Tarawneh, Bashar Awad

2020

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Load testing and settlement of shallow foundation on desert sands

Proceedings of the Institution of Civil Engineers. Geotechnical engineering, 2018-02, Vol.171 (1), p.52-63

2018

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

Construction & building materials, 2018-04, Vol.169, p.299-305

2018

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Structural Behavior of Concrete Box Culverts under Deep Burial

Journal of pipeline systems, 2017-11, Vol.8 (4)

2017

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Performance of Soil-bearing Spread Footings Supporting Highway Structures

The open civil engineering journal, 2024-02, Vol.18 (1)

2024

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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, 2022-07, Vol.22 (9), p.1657-1666

2022

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

Arabian journal for science and engineering (2011), 2019-05, Vol.44 (5), p.4095-4109

2019

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Risk Factors Affecting Ground Improvement Work in the Gulf Corporation Council Countries

The open civil engineering journal, 2020-09, Vol.14 (1), p.228-237

2020

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Lessons learned from 11 million m 2 of dynamic compaction and replacement

Proceedings of the Institution of Civil Engineers. Ground improvement, 2017-11, Vol.170 (4), p.208-217

2017

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

Journal of performance of constructed facilities, 2018-02, Vol.32 (1)

2018

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

Proceedings of the Institution of Civil Engineers. Ground improvement, 2019-02, Vol.172 (1), p.44-52

2019

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

The open civil engineering journal, 2019-02, Vol.13 (1), p.1-9

2019

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Ground improvement using rapid impact compaction: case study in Dubai

Građevinar (Zagreb), 2014-11, Vol.66 (11.), p.1007-1014

2014

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Liquefaction mitigation of desert sand using rapid impact compaction

Arabian journal of geosciences, 2018-06, Vol.11 (12), p.1-10, Article 309

2018

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

International journal of machine learning and computing, 2019-04, Vol.9 (2), p.129-134

2019

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Deeply Buried Thermoplastic Pipe Field Performance over Five Years

Journal of geotechnical and geoenvironmental engineering, 2008-08, Vol.134 (8), p.1181-1191

2008

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Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Regression versus artificial neural networks: Predicting pile setup from empirical data

Gene expression programming model to predict driven pipe piles set-up

Field evaluation and behavior of the soil improved using dynamic replacement

Optimization of resilient modulus prediction from FWD results using artificial neural network

Pipe pile setup: Database and prediction model using artificial neural network

Neural Network Approach to Condition Assessment of Highway Culverts: Case Study in Ohio

Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Political Reform and Its Impact on Representing the Bahraini Political Associations in the Elections of the House of Representatives (2018-2002)

Load testing and settlement of shallow foundation on desert sands

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

Structural Behavior of Concrete Box Culverts under Deep Burial

Performance of Soil-bearing Spread Footings Supporting Highway Structures

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

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

Risk Factors Affecting Ground Improvement Work in the Gulf Corporation Council Countries

Lessons learned from 11 million m 2 of dynamic compaction and replacement

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

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

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

Ground improvement using rapid impact compaction: case study in Dubai

Liquefaction mitigation of desert sand using rapid impact compaction

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

Deeply Buried Thermoplastic Pipe Field Performance over Five Years

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