{"title":"Low-cost adaptive pressure-correction projection method for the 2D/3D time-dependent natural convection problems","authors":"Jilian Wu , Ning Li , Mengru Jiang , Xinlong Feng","doi":"10.1016/j.camwa.2025.06.008","DOIUrl":null,"url":null,"abstract":"<div><div>The paper firstly develops a high-order and low-complexity time-stepping technique for solving two- and three-dimensional (2D/3D) natural convection problems, which is based on the standard pressure-correction projection (PCP) method and achieves higher-order accuracy by introducing the time filter (TF) technique. The new method can offset the weakness of PCP method while preserving its inherent advantages and can achieve higher-order in time by making a minimally intrusive modification to the PCP program at no extra computational and cognitive complexity. More importantly, it generates a low cost error estimator for adapting the time stepsize that can enhance time efficiency and reliability. Subsequently, the unconditional stability and error analysis of the fully-discrete PCP plus TF (PCP+TF) finite element method are proved. Notably, we construct low-complexity adaptive PCP algorithm, adaptive PCP+TF algorithm and the variable step, variable order (VSVO) algorithm using the TF technique. Ultimately, we verify the above viewpoints and theoretical analysis through some 2D/3D numerical experiments.</div></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":"194 ","pages":"Pages 86-109"},"PeriodicalIF":2.9000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898122125002536","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
The paper firstly develops a high-order and low-complexity time-stepping technique for solving two- and three-dimensional (2D/3D) natural convection problems, which is based on the standard pressure-correction projection (PCP) method and achieves higher-order accuracy by introducing the time filter (TF) technique. The new method can offset the weakness of PCP method while preserving its inherent advantages and can achieve higher-order in time by making a minimally intrusive modification to the PCP program at no extra computational and cognitive complexity. More importantly, it generates a low cost error estimator for adapting the time stepsize that can enhance time efficiency and reliability. Subsequently, the unconditional stability and error analysis of the fully-discrete PCP plus TF (PCP+TF) finite element method are proved. Notably, we construct low-complexity adaptive PCP algorithm, adaptive PCP+TF algorithm and the variable step, variable order (VSVO) algorithm using the TF technique. Ultimately, we verify the above viewpoints and theoretical analysis through some 2D/3D numerical experiments.
期刊介绍:
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).