A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Estimation of Wall Deflection in Braced Excavation in Clays Using Artificial Neural Networks
To investigate the serviceability reliability of a braced excavation system, a means has to be established for estimating wall deflection in the braced excavation. Traditionally, the wall deflection and ground settlement are "predicted" using finite element method (FEM) and/or other simplified methods. In this study, artificial neural networks (ANNs) are developed as an alternative of estimating the maximum wall deflection. The developed ANNs are validated with the collected 8 case histories of deep excavation that were not used in the development of these ANNs.
Estimation of Wall Deflection in Braced Excavation in Clays Using Artificial Neural Networks
To investigate the serviceability reliability of a braced excavation system, a means has to be established for estimating wall deflection in the braced excavation. Traditionally, the wall deflection and ground settlement are "predicted" using finite element method (FEM) and/or other simplified methods. In this study, artificial neural networks (ANNs) are developed as an alternative of estimating the maximum wall deflection. The developed ANNs are validated with the collected 8 case histories of deep excavation that were not used in the development of these ANNs.
Estimation of Wall Deflection in Braced Excavation in Clays Using Artificial Neural Networks
Hsiao, Evan C. L. (author) / Kung, Gordon T. C. (author) / Juang, C. Hsein (author) / Schuster, Matt (author)
GeoCongress 2006 ; 2006 ; Atlanta, Georgia, United States
GeoCongress 2006 ; 1-6
2006-02-21
Conference paper
Electronic Resource
English
Estimation of Wall Deflection in Braced Excavation in Clays Using Artificial Neural Networks
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