根据热通量测定物质的导热系数和体积热容

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED Computational Mathematics and Mathematical Physics Pub Date : 2024-06-07 DOI:10.1134/s0965542524700039
A. Yu. Gorchakov, V. I. Zubov
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引用次数: 0

摘要

摘要 研究与物质传热有关的非线性问题具有重要的现实意义。此前,本文作者提出了一种基于物体温度场动态实验观测的有效算法,用于确定物质的体积热容和导热系数。本文研究了从域边界的热通量同时确定被研究物质与温度相关的容积热容量和导热系数的问题。考虑的基础是一维非稳态热方程的第一(Dirichlet)边界值问题。所考虑的系数逆问题被简化为一个变分问题,并在应用快速自动微分的基础上通过梯度法加以解决。研究了逆问题解的唯一性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Determination of the Thermal Conductivity and Volumetric Heat Capacity of Substance from Heat Flux

Abstract

The study of nonlinear problems related to heat transfer in a substance is of great practical important. Earlier, this paper’s authors proposed an effective algorithm for determining the volumetric heat capacity and thermal conductivity of a substance based on experimental observations of the dynamics of the temperature field in the object. In this paper, the problem of simultaneous identification of temperature-dependent volumetric heat capacity and thermal conductivity of the substance under study from the heat flux at the boundary of the domain is investigated. The consideration is based on the first (Dirichlet) boundary value problem for a one-dimensional unsteady heat equation. The coefficient inverse problem under consideration is reduced to a variational problem, which is solved by gradient methods based on the application of fast automatic differentiation. The uniqueness of the solution of the inverse problem is investigated.

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来源期刊
Computational Mathematics and Mathematical Physics
Computational Mathematics and Mathematical Physics MATHEMATICS, APPLIED-PHYSICS, MATHEMATICAL
CiteScore
1.50
自引率
14.30%
发文量
125
审稿时长
4-8 weeks
期刊介绍: Computational Mathematics and Mathematical Physics is a monthly journal published in collaboration with the Russian Academy of Sciences. The journal includes reviews and original papers on computational mathematics, computational methods of mathematical physics, informatics, and other mathematical sciences. The journal welcomes reviews and original articles from all countries in the English or Russian language.
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