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author:

Chen, Hao-Biao (Chen, Hao-Biao.) [1] | Shao, Xue-Ying (Shao, Xue-Ying.) [2] | Han, Lei (Han, Lei.) [3] | Li, Ming-Guang (Li, Ming-Guang.) [4] | Chen, Fu-Quan (Chen, Fu-Quan.) [5] (Scholars:陈福全) | Xie, Xiao-Lin (Xie, Xiao-Lin.) [6]

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Abstract:

Cantilever retaining walls are commonly used due to their lightweight and self-stabilized soil mass above base slabs. Although several studies have extended earth pressure theories for cantilever retaining walls, these theories have limited applicability to further predicting the stability against cantilever retaining walls. In this study, the finite element limit analysis method is verified through comparisons with existing experimental tests, and then a comprehensive numerical model for the stability of cantilever retaining walls is established. The model combines the finite element limit analysis method with the strength reduction method to cover most practical project situations. Compared with the limit equilibrium method, the finite element limit analysis model provided a prediction of the safety factor based on the most probable failure mechanism considering soil properties, wall geometries, and interface properties. Furthermore, a series of parameter studies are conducted to investigate the effect of various parameters on the stability of cantilever retaining walls. Based on a large dataset obtained from the model, a neural network model is trained and validated to provide a surrogate model for a convenient prediction of the stability of cantilever retaining walls. © 2025

Keyword:

Convergence of numerical methods Failure (mechanical) Forecasting Large datasets Neural networks Retaining walls Safety factor Soils Soil testing Stability

Community:

  • [ 1 ] [Chen, Hao-Biao]School of Ocean and Civil Engineering, Shanghai Jiao Tong University, No.800 Dongchuan Road, Shanghai; 200240, China
  • [ 2 ] [Shao, Xue-Ying]Shanghai Urban Construction Design & Research Institute (Group) Co., Ltd., No. 3447 Dongfang Road, Shanghai; 200120, China
  • [ 3 ] [Han, Lei]Zhejiang Construction Co., Ltd of China Construction Eighth Engineering Division, Qianwan Wisdom Valley, Xiaoshan District, Zhejiang Province, Hangzhou City, China
  • [ 4 ] [Li, Ming-Guang]School of Ocean and Civil Engineering, Shanghai Jiao Tong University, No.800 Dongchuan Road, Shanghai; 200240, China
  • [ 5 ] [Chen, Fu-Quan]College of Civil Engineering, Fuzhou University, No.2 Xueyuan Road, Fuzhou; 350116, China
  • [ 6 ] [Xie, Xiao-Lin]Tongji Architectural Design (Group) Co., Ltd, No.1230 Siping Road, Shanghai; 200092, China

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Source :

KSCE Journal of Civil Engineering

ISSN: 1226-7988

Year: 2025

Issue: 9

Volume: 29

1 . 9 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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