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派博传思国际中心 »期刊书目

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Titlebook: Soil Dynamics, Earthquake and Computational Geotechnical Engineering; Proceedings of the I Kasinathan Muthukkumaran,R. Ayothiraman,Sreevals

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发表于 2025-3-21 19:06:03 | 显示全部楼层 |阅读模式
书目名称Soil Dynamics, Earthquake and Computational Geotechnical Engineering
副标题Proceedings of the I
编辑Kasinathan Muthukkumaran,R. Ayothiraman,Sreevalsa
视频videohttp://file.papertrans.cn/872/871228/871228.mp4
概述Comprises select peer-reviewed proceedings of the conference IGC 2021.Enriches understanding by including contributions from leading experts across the globe.Focuses on recent developments in geotechn
丛书名称Lecture Notes in Civil Engineering
图书封面Titlebook: Soil Dynamics, Earthquake and Computational Geotechnical Engineering; Proceedings of the I Kasinathan Muthukkumaran,R. Ayothiraman,Sreevals
描述.This book comprises the select peer-reviewed proceedings of the Indian Geotechnical Conference (IGC) 2021. The contents focus on Geotechnics for Infrastructure Development and Innovative Applications. The book covers topics related to parameters of soil, liquefaction evaluation of subsoil strata, analysis of earth and development of shear wave velocity profile, seismic hazard analysis, vibration isolation methods, application of machine learning in geotechnical engineering, among others. This volume will be of interest to those in academia and industry. .
出版日期Conference proceedings 2023
关键词Foundation Engineering; Geo-Environmental Engineering; Slope Stability and Landslides; Geosynthetics Ap
版次1
doihttps://doi.org/10.1007/978-981-19-6998-0
isbn_softcover978-981-19-7000-9
isbn_ebook978-981-19-6998-0Series ISSN 2366-2557 Series E-ISSN 2366-2565
issn_series 2366-2557
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Potential Use of Fine Fraction of Municipal Solid Waste as Replacement of Soil in Embankment,mana, Varanasi) from where the MSW sample was collected. The numerical modelling of the embankment predicts the settlement and stability of the road embankment under traffic loads, which were found to be within the permissible limits. Although this is just a preliminary study, an extensive exercise is required to check its suitability.
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Evaluation of Compactive Parameters of Soil Using Machine Learning,. Artificial intelligence has two subsets; one is machine learning, and the second is deep learning. In this technical article, the regression analysis, multilayer perceptron class-based neural network models are employed to predict the compactive parameters (optimum moisture content and maximum dry
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