Deep learning for solution and inversion of structural mechanics and vibrations

• URL: http://arxiv.org/abs/2105.09477v1
• Date: Tue, 18 May 2021 21:26:06 GMT
• Title: Deep learning for solution and inversion of structural mechanics and vibrations
• Authors: Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Ruben Juanes
• Abstract summary: We present the application of deep learning and physics-informed neural networks concerning structural mechanics and vibration problems. Demonstration problems involve de-noising data, solution to time-dependent ordinary and partial differential equations, and characterizing the system's response for a given data.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Deep learning has been the most popular machine learning method in the last few years. In this chapter, we present the application of deep learning and physics-informed neural networks concerning structural mechanics and vibration problems. Demonstration problems involve de-noising data, solution to time-dependent ordinary and partial differential equations, and characterizing the system's response for a given data.

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