A Time–Space Numerical Procedure for Solving the Sideways Heat Conduction Problem

This paper proposes a solution to the sideways heat conduction problem (SHCP) based on the time and space integration direction. Conventional inverse problems depend highly on the available data, particularly when the observed data are contaminated with measurement noise. These perturbations may lea...

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Vydané v:Mathematics (Basel) Ročník 13; číslo 5; s. 751
Hlavní autori: Tan, Ching-Chuan, Shih, Chao-Feng, Shen, Jian-Hung, Chen, Yung-Wei
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.03.2025
Predmet:
Accuracy
backward heat conduction problem (BHCP)
Boundary conditions
Conduction heating
Conductive heat transfer
Decomposition
Efficiency
Exact solutions
Fourier transforms
Heat exchangers
Heat transfer
Initial conditions
Inverse problems
Lie group shooting method (LGSM)
Lie groups
Noise measurement
Numerical analysis
Numerical integration
Regularization
Regularization methods
sideways heat conduction problem (SHCP)
ISSN:2227-7390, 2227-7390
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Shrnutí:This paper proposes a solution to the sideways heat conduction problem (SHCP) based on the time and space integration direction. Conventional inverse problems depend highly on the available data, particularly when the observed data are contaminated with measurement noise. These perturbations may lead to significant oscillations in the solution. The uniqueness of the solution in this SHCP requires revaluation when boundary conditions (BCs) or initial conditions (ICs) are missing. First, the spatial gradient between two points resolves the missing BCs in the computational domain by a one-step Lie group scheme. Further, the SHCP can be transformed into a backward-in-time heat conduction problem (BHCP). The second-order backward explicit integration can be applied to determine the ICs using the two-point solution at each time step. The performance of the suggested strategy is demonstrated with three numerical examples. The exact solution and the numerical results correspond well, despite the absence of some boundary and initial conditions. The only method of preventing numerical instability in this study is to alter the direction of numerical integration instead of relying on regularization techniques. Therefore, a numerical formula with two integration directions proves to be more accurate and stable compared to existing methods for the SHCP.
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ISSN:2227-7390
2227-7390
DOI:10.3390/math13050751