Deep learning for solution and inversion of structural mechanics and vibrations
arXiv:2105.09477 · doi:10.1088/978-0-7503-3487-7ch1
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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