A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes

Soranzo Enrico; Guardiani Carlotta; Saif AhsanWu Wei

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A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes

机译：A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes

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摘要

We propose a numerical procedure to locate the critical slip surface of slopes with the method of slices. We employ the Deep-Q Learning algorithm with experience replay and target memory to determine a non-circular slip surface. The overall stability analysis is performed with Janbu's simplified method. Our approach, however, is flexible and can accommodate other Limit Equilibrium Methods. The accuracy of the method is demonstrated by using typical verification examples and comparing the results to the search methods implemented in SLOPE/W and Slide2. It is demonstrated that the Deep-Q learning algorithm can be efficiently applied to layered slopes.

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来源
《Computers & geosciences》 |2022年第9期|105182.1-105182.17|共17页
作者
Soranzo Enrico; Guardiani Carlotta; Saif AhsanWu Wei;
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Univ Nat Resources & Life Sci;

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原文格式 PDF
正文语种英语
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关键词
Deep Q-Network; Factorof safety; Method of slices; Non-circular failure; Reinforcement Learning; Slip surface; Slope stability;

A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes

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