{"title":"多孔介质中非线性Biot孔隙弹性方程的元微分解","authors":"Yong-Tong Zheng , Bing-Bing Xu","doi":"10.1016/j.compgeo.2026.107999","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, an improved element differential method is proposed and applied to the numerical analysis of nonlinear two- and three-dimensional poroelastic problems for the first time. As a strong-form method, the element differential method is flexible compared with the conventional finite element method. Different from the meshless collocation method, the Lagrange element is selected for the discrete geometric model. The explicit expressions of the first and second derivatives of shape functions with respect to global coordinates are derived. Besides, the Chebyshev polynomials which can eliminate the Runge phenomenon are introduced to further improve the accuracy of the method. By using the improved element differential method, the porous media modeled by the <span><math><mrow><mi>u</mi><mo>−</mo><mi>p</mi></mrow></math></span> formulation is considered. It is easy to find that the coupled governing equation is discretized directly without any numerical integration by the element differential method. Some benchmark examples and 3-D consolidation problems are given to demonstrate the accuracy and abilities of the proposed techniques.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"193 ","pages":"Article 107999"},"PeriodicalIF":6.2000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Element differential solvers for nonlinear Biot’s poroelasticity equations in porous media\",\"authors\":\"Yong-Tong Zheng , Bing-Bing Xu\",\"doi\":\"10.1016/j.compgeo.2026.107999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, an improved element differential method is proposed and applied to the numerical analysis of nonlinear two- and three-dimensional poroelastic problems for the first time. As a strong-form method, the element differential method is flexible compared with the conventional finite element method. Different from the meshless collocation method, the Lagrange element is selected for the discrete geometric model. The explicit expressions of the first and second derivatives of shape functions with respect to global coordinates are derived. Besides, the Chebyshev polynomials which can eliminate the Runge phenomenon are introduced to further improve the accuracy of the method. By using the improved element differential method, the porous media modeled by the <span><math><mrow><mi>u</mi><mo>−</mo><mi>p</mi></mrow></math></span> formulation is considered. It is easy to find that the coupled governing equation is discretized directly without any numerical integration by the element differential method. Some benchmark examples and 3-D consolidation problems are given to demonstrate the accuracy and abilities of the proposed techniques.</div></div>\",\"PeriodicalId\":55217,\"journal\":{\"name\":\"Computers and Geotechnics\",\"volume\":\"193 \",\"pages\":\"Article 107999\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2026-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Geotechnics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0266352X26001059\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/2/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X26001059","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Element differential solvers for nonlinear Biot’s poroelasticity equations in porous media
In this paper, an improved element differential method is proposed and applied to the numerical analysis of nonlinear two- and three-dimensional poroelastic problems for the first time. As a strong-form method, the element differential method is flexible compared with the conventional finite element method. Different from the meshless collocation method, the Lagrange element is selected for the discrete geometric model. The explicit expressions of the first and second derivatives of shape functions with respect to global coordinates are derived. Besides, the Chebyshev polynomials which can eliminate the Runge phenomenon are introduced to further improve the accuracy of the method. By using the improved element differential method, the porous media modeled by the formulation is considered. It is easy to find that the coupled governing equation is discretized directly without any numerical integration by the element differential method. Some benchmark examples and 3-D consolidation problems are given to demonstrate the accuracy and abilities of the proposed techniques.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.