人工智能驱动的隧道挤压预测:比较岩石分类系统

IF 1.7 Q3 ENGINEERING, GEOLOGICAL

Geotechnical and Geological Engineering Pub Date : 2023-10-14 DOI:10.1007/s10706-023-02665-5

Zaid A. Al-Sadoon, Emran Alotaibi, Maher Omar, Mohamed G. Arab, Ali Tahmaz

引用次数: 1

摘要

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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AI-Driven Prediction of Tunneling Squeezing: Comparing Rock Classification Systems

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来源期刊

Geotechnical and Geological Engineering ENGINEERING, GEOLOGICAL-

CiteScore

3.70

自引率

5.90%

发文量

298

期刊介绍： Geotechnical and Geological Engineering publishes papers in the areas of soil and rock engineering and also of geology as applied in the civil engineering, mining and petroleum industries. The emphasis is on the engineering aspects of soil and rock mechanics, geology and hydrogeology, although papers on theoretical and experimental advances in ground mechanics are also welcomed for inclusion. The journal encompasses a broad spectrum of geo-engineering although several areas have been identified which will be given particular priority: Soil and rock engineering; Foundation engineering; Applied geology for design and construction; Geo-environmental engineering; Earthquake engineering and dynamic behavior of soils and rocks; Geohazards and mitigation; Mining engineering; Geotechnical aspects of petroleum engineering; Information technology applications in geo-engineering; Novel geotechnical construction techniques; Case histories describing important geo-engineering projects. Geotechnical and Geological Engineering publishes contributions in the form of original and review papers, or as short technical notes.