{"title":"确定时间分数模型中的通量项","authors":"Mohamed BenSalah , Salih Tatar , Süleyman Ulusoy , Masahiro Yamamoto","doi":"10.1016/j.apm.2025.116125","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we investigate the flux identification problem for a nonlinear time-fractional viscoelastic equation with a general source function, using boundary measurements. We first establish the well-posedness of the direct problem by proving the existence, uniqueness, and continuous dependence of the solution on the heat flux. Next, we demonstrate the Fréchet differentiability of the cost functional, providing a theoretical foundation for solving the inverse problem. To efficiently reconstruct the unknown flux, we develop a Conjugate Gradient Algorithm based on the derived gradient formula. Finally, we validate the effectiveness and robustness of our approach through numerical experiments, including both noise-free and noisy data, confirming its accuracy and practical applicability.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"145 ","pages":"Article 116125"},"PeriodicalIF":4.4000,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determining flux terms in a time fractional model\",\"authors\":\"Mohamed BenSalah , Salih Tatar , Süleyman Ulusoy , Masahiro Yamamoto\",\"doi\":\"10.1016/j.apm.2025.116125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we investigate the flux identification problem for a nonlinear time-fractional viscoelastic equation with a general source function, using boundary measurements. We first establish the well-posedness of the direct problem by proving the existence, uniqueness, and continuous dependence of the solution on the heat flux. Next, we demonstrate the Fréchet differentiability of the cost functional, providing a theoretical foundation for solving the inverse problem. To efficiently reconstruct the unknown flux, we develop a Conjugate Gradient Algorithm based on the derived gradient formula. Finally, we validate the effectiveness and robustness of our approach through numerical experiments, including both noise-free and noisy data, confirming its accuracy and practical applicability.</div></div>\",\"PeriodicalId\":50980,\"journal\":{\"name\":\"Applied Mathematical Modelling\",\"volume\":\"145 \",\"pages\":\"Article 116125\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematical Modelling\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0307904X25002008\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25002008","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}
In this paper, we investigate the flux identification problem for a nonlinear time-fractional viscoelastic equation with a general source function, using boundary measurements. We first establish the well-posedness of the direct problem by proving the existence, uniqueness, and continuous dependence of the solution on the heat flux. Next, we demonstrate the Fréchet differentiability of the cost functional, providing a theoretical foundation for solving the inverse problem. To efficiently reconstruct the unknown flux, we develop a Conjugate Gradient Algorithm based on the derived gradient formula. Finally, we validate the effectiveness and robustness of our approach through numerical experiments, including both noise-free and noisy data, confirming its accuracy and practical applicability.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.