Recovering Heat Source from Fourth-Order Inverse Problems by Weighted Gradient Collocation

Judy P. Yang and Hsiang-Ming Li
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Judy P. Yang: Department of Civil Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
Hsiang-Ming Li: Department of Civil Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan

Mathematics, 2022, vol. 10, issue 2, 1-22

Abstract: The weighted gradient reproducing kernel collocation method is introduced to recover the heat source described by Poisson’s equation. As it is commonly known that there is no unique solution to the inverse heat source problem, the weak solution based on a priori assumptions is considered herein. In view of the fourth-order partial differential equation (PDE) in the mathematical model, the high-order gradient reproducing kernel approximation is introduced to efficiently untangle the problem without calculating the high-order derivatives of reproducing kernel shape functions. The weights of the weighted collocation method for high-order inverse analysis are first determined. In the benchmark analysis, the unclear illustration in the literature is clarified, and the correct interpretation of numerical results is given particularly. Two mathematical formulations with four examples are provided to demonstrate the viability of the method, including the extreme cases of the limited accessible boundary.

Keywords: inverse problems; heat source; fourth-order PDE; weighted collocation method; reproducing kernel approximation; gradient approximation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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