{"title":"Linear energy-stable Runge–Kutta relaxation schemes for the Bi-flux diffusion model","authors":"Jiayue Xu, Cong Xie, Maosheng Jiang","doi":"10.1016/j.enganabound.2024.106087","DOIUrl":null,"url":null,"abstract":"This paper conducts an in-depth study of nonlinear Bi-flux diffusion models with one energy stable linear relaxation with regularized energy reformulation numerical scheme. This novel scheme combines the single diagonal implicit Runge–Kutta method (SDIRK) in temporal dimension and a meshless generalized finite difference method (GFDM) in spatial dimension. Thus in terms of spatial discretization high quality grids are not required and in terms of time discretization large time step is potential compared with the existing methods. The rigorous proof of the unconditional energy stable property for the scheme is presented. According to different values of the coefficient in nonlinear Bi-flux model, it could degenerate to Allen–Cahn equation, Fisher–Kolmogorov equation and extended Fisher–Kolmogorov model. The accuracy and the effectiveness of the proposed scheme are presented. Moreover, a large number of evolution processes for the nonlinear Bi-flux model under different regimes are demonstrated.","PeriodicalId":51039,"journal":{"name":"Engineering Analysis with Boundary Elements","volume":"42 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Analysis with Boundary Elements","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.enganabound.2024.106087","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper conducts an in-depth study of nonlinear Bi-flux diffusion models with one energy stable linear relaxation with regularized energy reformulation numerical scheme. This novel scheme combines the single diagonal implicit Runge–Kutta method (SDIRK) in temporal dimension and a meshless generalized finite difference method (GFDM) in spatial dimension. Thus in terms of spatial discretization high quality grids are not required and in terms of time discretization large time step is potential compared with the existing methods. The rigorous proof of the unconditional energy stable property for the scheme is presented. According to different values of the coefficient in nonlinear Bi-flux model, it could degenerate to Allen–Cahn equation, Fisher–Kolmogorov equation and extended Fisher–Kolmogorov model. The accuracy and the effectiveness of the proposed scheme are presented. Moreover, a large number of evolution processes for the nonlinear Bi-flux model under different regimes are demonstrated.
期刊介绍:
This journal is specifically dedicated to the dissemination of the latest developments of new engineering analysis techniques using boundary elements and other mesh reduction methods.
Boundary element (BEM) and mesh reduction methods (MRM) are very active areas of research with the techniques being applied to solve increasingly complex problems. The journal stresses the importance of these applications as well as their computational aspects, reliability and robustness.
The main criteria for publication will be the originality of the work being reported, its potential usefulness and applications of the methods to new fields.
In addition to regular issues, the journal publishes a series of special issues dealing with specific areas of current research.
The journal has, for many years, provided a channel of communication between academics and industrial researchers working in mesh reduction methods
Fields Covered:
• Boundary Element Methods (BEM)
• Mesh Reduction Methods (MRM)
• Meshless Methods
• Integral Equations
• Applications of BEM/MRM in Engineering
• Numerical Methods related to BEM/MRM
• Computational Techniques
• Combination of Different Methods
• Advanced Formulations.