{"title":"Modeling and simulation of the conserved N-component Allen–Cahn model on evolving surfaces","authors":"Lulu Liu, Xufeng Xiao, Xinlong Feng","doi":"10.1016/j.cnsns.2025.108745","DOIUrl":null,"url":null,"abstract":"<div><div>This paper establishes the conserved N-component Allen–Cahn model on evolving surfaces and conducts numerical simulations of the model. In mathematical modeling, since the surface motion velocity causes local contraction or expansion of the surface, it is hard to simultaneously fulfill the componential mass conservation and the point-wise mass conservation as the usual case on the static domain. Therefore, according to these two types of conservation, three models are established: the componential mass conservation model, the point-wise mass conservation model, and the componential and point-wise mass conservation model. For the numerical simulation, the evolving surface finite element method is used to discretize the model in time and space. To achieve a stable, linear, high-accuracy and decoupled numerical scheme, the evolving surface finite element method has been enhanced by incorporating the stabilized semi-implicit approach. Furthermore, the stability analysis has been undertaken to validate the robustness of the devised numerical scheme. Through the validation of numerous numerical simulations, the reasonableness of the proposed model and the efficacy of the numerical approach are evaluated.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"145 ","pages":"Article 108745"},"PeriodicalIF":3.4000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S100757042500156X","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper establishes the conserved N-component Allen–Cahn model on evolving surfaces and conducts numerical simulations of the model. In mathematical modeling, since the surface motion velocity causes local contraction or expansion of the surface, it is hard to simultaneously fulfill the componential mass conservation and the point-wise mass conservation as the usual case on the static domain. Therefore, according to these two types of conservation, three models are established: the componential mass conservation model, the point-wise mass conservation model, and the componential and point-wise mass conservation model. For the numerical simulation, the evolving surface finite element method is used to discretize the model in time and space. To achieve a stable, linear, high-accuracy and decoupled numerical scheme, the evolving surface finite element method has been enhanced by incorporating the stabilized semi-implicit approach. Furthermore, the stability analysis has been undertaken to validate the robustness of the devised numerical scheme. Through the validation of numerous numerical simulations, the reasonableness of the proposed model and the efficacy of the numerical approach are evaluated.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.