Deep learning for solution and inversion of structural mechanics and vibrations
Ehsan Haghighat, Ali Can Bekar, Erdogan Madenci, Rubén Juanes
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.
Topics & Concepts
Inversion (geology)Deep learningOrdinary differential equationComputer scienceArtificial intelligenceVibrationArtificial neural networkPartial differential equationMathematicsDifferential equationPhysicsMathematical analysisGeologyAcousticsSeismologyTectonicsModel Reduction and Neural NetworksStructural Health Monitoring TechniquesSeismology and Earthquake Studies