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.
@article{arxiv.2105.09477,
title = {Deep learning for solution and inversion of structural mechanics and vibrations},
author = {Ehsan Haghighat and Ali Can Bekar and Erdogan Madenci and Ruben Juanes},
journal= {arXiv preprint arXiv:2105.09477},
year = {2022}
}