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Open Access

Research on Viscoelasto-Plastic Constitutive Model of Cohesive Soil with Big Data

Yue Ling( ), Yuanxue Liu, Jiubin Zhao
Chongqing Key Laboratory of Geomechanics & Geoenvironmental Protection, Department of military installations, Army Logistics University of PLA, Chongqing 401311, China
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Abstract

The dynamic constitutive model of soil is one of the core issues of soil dynamics research, and it is the basis for carrying out dynamic numerical calculation of important civil engineering. The general dynamic constitutive model has many problems, such as many assumptions, small scope of application, and inable to reasonably reflect the dynamic characteristics of geotechnical materials. Starting from the viscous coefficient, through the big data deep mining of a large number of experimental data under the dynamic load of cohesive soil, the main influence coefficient of the viscous coefficient is determined, and the big data calculation model of the viscous coefficient is established. On the basis of the big data static generalized plastic mechanics constitutive model of the research team, the viscous coefficient calculation model was introduced into the viscoelasto-plastic model with the viscoelasto-plastic theory as the model framework, and the generalized plastic mechanics viscoelasto-plastic constitutive model of the big data cohesive soil was established. It has been proved that the fitting degree of this model is 0.956, which can better simulate the dynamic characteristics of cohesive soils under dynamic load.

CLC number: TU442 Document code: A Article ID: 1673-0836(2023)03-0725-12

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Chinese Journal of Underground Space and Engineering
Pages 725-736

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Cite this article:
Ling Y, Liu Y, Zhao J. Research on Viscoelasto-Plastic Constitutive Model of Cohesive Soil with Big Data. Chinese Journal of Underground Space and Engineering, 2023, 19(3): 725-736. https://doi.org/10.20174/j.juse.2023.03.003

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Received: 25 November 2022
Published: 01 June 2023
© 2023 Chinese Journal of Underground Space and Engineering

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).