{"title":"A Second-order Scheme for the Generalized Time-fractional Burgers' Equation","authors":"Reetika Chawla, Devendra Kumar, Satpal Singh","doi":"10.1115/1.4063792","DOIUrl":null,"url":null,"abstract":"Abstract A second-order numerical scheme is proposed to solve the generalized time-fractional Burgers' equation. Time-fractional derivative is considered in the Caputo sense. First, the quasilinearization process is used to linearize the time-fractional Burgers'; equation, which gives a sequence of linear partial differential equations (PDEs). The Crank-Nicolson scheme is used to discretize the sequence of PDEs in the temporal direction, followed by the central difference formulae for both the first and second-order spatial derivatives. The established error bounds (in the $L^2-$norm) obtained through the meticulous theoretical analysis show that the method is the second-order convergent in both space and time. The technique is also shown to be conditionally stable. Some numerical experiments are presented to confirm the theoretical results.","PeriodicalId":54858,"journal":{"name":"Journal of Computational and Nonlinear Dynamics","volume":"184 1","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Nonlinear Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4063792","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract A second-order numerical scheme is proposed to solve the generalized time-fractional Burgers' equation. Time-fractional derivative is considered in the Caputo sense. First, the quasilinearization process is used to linearize the time-fractional Burgers'; equation, which gives a sequence of linear partial differential equations (PDEs). The Crank-Nicolson scheme is used to discretize the sequence of PDEs in the temporal direction, followed by the central difference formulae for both the first and second-order spatial derivatives. The established error bounds (in the $L^2-$norm) obtained through the meticulous theoretical analysis show that the method is the second-order convergent in both space and time. The technique is also shown to be conditionally stable. Some numerical experiments are presented to confirm the theoretical results.
期刊介绍:
The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.