{"title":"模拟多孔介质中生物膜生长的耦合系统的混合有限元近似数值分析","authors":"Azhar Alhammali,Malgorzata Peszynska, Choah Shin","doi":"10.4208/ijnam2024-1002","DOIUrl":null,"url":null,"abstract":"In this paper, we consider mixed finite element approximation of a coupled system of\nnonlinear parabolic advection-diffusion-reaction variational (in)equalities modeling biofilm growth\nand nutrient utilization in porous media at pore-scale. We study well-posedness of the discrete\nsystem and derive an optimal error estimate of first order. Our theoretical estimates extend\nthe work on a scalar degenerate parabolic problem by Arbogast et al, 1997 [4] to a variational\ninequality; we also apply it to a system. We also verify our theoretical convergence results with\nsimulations of realistic scenarios.","PeriodicalId":50301,"journal":{"name":"International Journal of Numerical Analysis and Modeling","volume":"111 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical Analysis of a Mixed Finite Element Approximation of a Coupled System Modeling Biofilm Growth in Porous Media with Simulations\",\"authors\":\"Azhar Alhammali,Malgorzata Peszynska, Choah Shin\",\"doi\":\"10.4208/ijnam2024-1002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we consider mixed finite element approximation of a coupled system of\\nnonlinear parabolic advection-diffusion-reaction variational (in)equalities modeling biofilm growth\\nand nutrient utilization in porous media at pore-scale. We study well-posedness of the discrete\\nsystem and derive an optimal error estimate of first order. Our theoretical estimates extend\\nthe work on a scalar degenerate parabolic problem by Arbogast et al, 1997 [4] to a variational\\ninequality; we also apply it to a system. We also verify our theoretical convergence results with\\nsimulations of realistic scenarios.\",\"PeriodicalId\":50301,\"journal\":{\"name\":\"International Journal of Numerical Analysis and Modeling\",\"volume\":\"111 1\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Numerical Analysis and Modeling\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.4208/ijnam2024-1002\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Numerical Analysis and Modeling","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.4208/ijnam2024-1002","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
Numerical Analysis of a Mixed Finite Element Approximation of a Coupled System Modeling Biofilm Growth in Porous Media with Simulations
In this paper, we consider mixed finite element approximation of a coupled system of
nonlinear parabolic advection-diffusion-reaction variational (in)equalities modeling biofilm growth
and nutrient utilization in porous media at pore-scale. We study well-posedness of the discrete
system and derive an optimal error estimate of first order. Our theoretical estimates extend
the work on a scalar degenerate parabolic problem by Arbogast et al, 1997 [4] to a variational
inequality; we also apply it to a system. We also verify our theoretical convergence results with
simulations of realistic scenarios.
期刊介绍:
The journal is directed to the broad spectrum of researchers in numerical methods throughout science and engineering, and publishes high quality original papers in all fields of numerical analysis and mathematical modeling including: numerical differential equations, scientific computing, linear algebra, control, optimization, and related areas of engineering and scientific applications. The journal welcomes the contribution of original developments of numerical methods, mathematical analysis leading to better understanding of the existing algorithms, and applications of numerical techniques to real engineering and scientific problems. Rigorous studies of the convergence of algorithms, their accuracy and stability, and their computational complexity are appropriate for this journal. Papers addressing new numerical algorithms and techniques, demonstrating the potential of some novel ideas, describing experiments involving new models and simulations for practical problems are also suitable topics for the journal. The journal welcomes survey articles which summarize state of art knowledge and present open problems of particular numerical techniques and mathematical models.