Abstract
The inverse problem of determining the thermal conductivity coefficient depending on temperature is considered and investigated. The consideration is based on the initial boundary value problem for the non-stationary heat equation. The work is devoted to obtaining the necessary conditions for non-uniqueness of the considered inverse problem solution in the n-dimension case, and also to examine the possibility of applying the Fast Automatic Differentiation Technique to solve this problem by second-order methods. The examples of solving the inverse coefficient problem confirm the accuracy and efficiency of the proposed algorithm.
This work was partially supported by the Russian Foundation for Basic Research (project no. 19-01-00666 A).
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References
Kozdoba, L.A., Krukovskii, P.G.: Methods for Solving Inverse Thermal Transfer Problems. Naukova Dumka, Kiev (1982).[in Russian]
Alifanov, O.M.: Inverse Heat Transfer Problems. Springer, Berlin (2011). https://doi.org/10.1007/978-3-642-76436-3. [in Russian]
Vabishchevich, P.N., Denisenko, A.Yu.: Numerical methods for solving inverse co-efficient problems. In: Method of Mathematical Simulation and Computational Diagnostics, pp. 35ā45. Mosk. Gos. Univ., Moscow (1990). [in Russian]
Samarskii, A.A., Vabishchevich, P.N.: Difference methods for solving inverse problems of mathematical physics. In: Fundamentals of Mathematical Simulation, pp. 5ā97. Nauka, Moscow (1997). [in Russian]
Samarskii, A.A., Vabishchevich, P.N.: Computational Heat Transfer. Editorial URSS, Moscow (2003).[in Russian]
Czel, B., Grof, G.: Inverse identification of temperature-dependent thermal conductivity via genetic algorithm with cost function-based rearrangement of genes. Int. J. Heat Mass Trans. 55(15), 4254ā4263 (2012)
Matsevityi, Y.M., Alekhina, S.V., Borukhov, V.T., Zayats, G.M., Kostikova, A.O.: Identification of the thermal conductivity coefficient for quasi-stationary two-dimensional heat conduction equations. J. Eng. Phys. Thermophy. 90(6), 1295ā1301 (2017)
Evtushenko, Yu.G.: Computation of exact gradients in distributed dynamic systems. Optim. Methods Softw. 9, 45ā75 (1998). https://doi.org/10.1080/10556789808805686
Albu, A.F., Gorchakov, A.Yu., Zubov, V.I.: On the effectiveness of the fast automatic differentiation methodology. In: Optimization and Applications. OPTIMA 2018. Communications in Computer and Information Science, vol. 974, pp. 264ā276. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-10934-9-19
Zubov, V.I.: Application of fast automatic differentiation for solving the inverse coefficient problem for the heat equation. Comp. Math. and Math. Phys. 56(10), 1743ā1757 (2016). https://doi.org/10.7868/S0044466916100148
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Albu, A., Zubov, V. (2021). Application of Second-Order Optimization Methods to Solving the Inverse Coefficient Problems. In: Olenev, N.N., Evtushenko, Y.G., JaÄimoviÄ, M., Khachay, M., Malkova, V. (eds) Optimization and Applications. OPTIMA 2021. Lecture Notes in Computer Science(), vol 13078. Springer, Cham. https://doi.org/10.1007/978-3-030-91059-4_25
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DOI: https://doi.org/10.1007/978-3-030-91059-4_25
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