AI-powered framework to solve both forward and inverse problems in structural dynamics
Project description
AIStructDynSolve
AIStructDynSolve is an artificial intelligence (AI) powered framework designed to solve both forward and inverse problems in structural dynamics. It leverages advanced artificial intelligence methods - particularly physics-informed neural networks (PINNs) and their extensions - to model, predict, and analyze dynamic structural responses under various loading scenarios, such as seismic excitations.
The framework solves the following ODE of MDOF:
M*U_dotdot+C*U_dot+K*U=Pt
- Initial Conditions:
- U(t=0)=InitialU
- U_dot(t=0)=InitialU_dot
The framework aims to:
- Accurately simulate time-dependent structural behavior (forward problems).
- Identify structural parameters or input forces from measured responses (inverse problems).
- Incorporate domain knowledge and physical laws for improved generalization and interpretability.
- Address challenges in multi-frequency, multi-scale dynamics, especially in earthquake engineering applications.
Author:
- Ke Du
Email: duke@iem.ac.cn
Date:
- 2023/12/26
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