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Features of Solving Inverse Problems of Guided Wave Tomography on Supercomputersстатья
- Авторы: Belyaev Alexander, Goncharsky Alexander, Romanov Sergey
- Сборник: Supercomputing. 11th Russian Supercomputing Days, RuSCDays 2025, Moscow, Russia, September 29–30, 2025. Revised Selected Papers
- Серия: Lecture Notes in Computer Science
- Том: 16196
- Год издания: 2025
- Место издания: Springer Science+Business Media Luxembourg
- Первая страница: 133
- Последняя страница: 144
- DOI: 10.1007/978-3-032-13127-0_10
- Аннотация: This article discusses the development of methods for solving coefficient in-verse problems of ultrasonic tomography in application to non-destructive testing of thin plates using Lamb waves. The problem of ultrasonic tomo-graphic diagnostics is formulated as a coefficient inverse problem of recon-structing the thickness of the plate as a function of two coordinates. Iterative methods for approximate solution have been developed using the gradient descent method to minimize the discrepancy between the experimental data and the data computed in the scalar wave model at the detectors. The exper-imental data is simulated by solving the direct problem in 3D elastic vector model. The effectiveness of the proposed algorithms is illustrated on model problems. High-performance computing nodes of a supercomputer complex are used as a computing platform.
- Добавил в систему: Романов Сергей Юрьевич