Deep learning for solution and inversion of structural mechanics and vibrations

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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Cited by in corpus (1)

• A computational framework for nanotrusses: input convex neural networks approach