Artificial neural network (ANN) approach for modelling of pile settlement of open-ended steel piles subjected to compression load-Reference-Cited by-同舟云学术

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Artificial neural network (ANN) approach for modelling of pile settlement of open-ended steel piles subjected to compression load

Published:2018-11-08 Issue:3 Volume:25 Page:429-451
ISSN:1964-8189
Container-title:European Journal of Environmental and Civil Engineering
language:en
Short-container-title:European Journal of Environmental and Civil Engineering

Author:

Jebur Ameer A.¹,Atherton William²,Al Khaddar Rafid M.²,Loffill Ed²

Affiliation:

1. Department of Civil Engineering, Liverpool John Moores University, Henry Cotton Building, Webster Street, Liverpool, L3 2ET, UK

2. Department of Civil Engineering, Liverpool John Moores University, Peter Jost Centre, Byrom Street, Liverpool, L3 3AF, UK

Funder

Iraqi Ministry of Higher Education and Scientific Research

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Publisher

Informa UK Limited

Subject

Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19648189.2018.1531269

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Utilizing meta-heuristic algorithms for load-bearing capacity prediction in piles with support vector regression;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-07-19

2. Neural networks-based spring element for second-order analysis of pile-supported structures with nonlinear soil- structure interaction;Engineering Structures;2024-07

3. Prediction of Ultimate Bearing Capacity of Soil–Cement Mixed Pile Composite Foundation Using SA-IRMO-BPNN Model;Mathematics;2024-05-30

4. Optimizing pile bearing capacity prediction: Insights from dynamic testing and smart algorithms in geotechnical engineering;Measurement;2024-05

5. Application of Artificial Intelligence (AI) in Civil Engineering;Studies in Systems, Decision and Control;2024

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