Beyond p-y method: A review of artificial intelligence approaches for predicting lateral capacity of drilled shafts in clayey soils

IF 9.4 1区工程技术 Q1 ENGINEERING, GEOLOGICAL

Journal of Rock Mechanics and Geotechnical Engineering Pub Date : 2024-05-01 DOI:10.1016/j.jrmge.2024.03.017

M.E. Al-Atroush, A.E. Aboelela, Ezz El-Din Hemdan

引用次数: 0

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超越 P-Y 法：预测粘性土中钻井横向承载力的人工智能方法综述

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Rock Mechanics and Geotechnical Engineering Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology

CiteScore

11.60

自引率

6.80%

发文量

227

审稿时长

48 days

期刊介绍： The Journal of Rock Mechanics and Geotechnical Engineering (JRMGE), overseen by the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, is dedicated to the latest advancements in rock mechanics and geotechnical engineering. It serves as a platform for global scholars to stay updated on developments in various related fields including soil mechanics, foundation engineering, civil engineering, mining engineering, hydraulic engineering, petroleum engineering, and engineering geology. With a focus on fostering international academic exchange, JRMGE acts as a conduit between theoretical advancements and practical applications. Topics covered include new theories, technologies, methods, experiences, in-situ and laboratory tests, developments, case studies, and timely reviews within the realm of rock mechanics and geotechnical engineering.