Co-organised by: Christia Soiz1, Eleni Chatzi2, Roger Ghanem3, Fernando Rochinha4, Steve WaiChing Sun5
1 Université Gustave Eiffel, France, christian.soize@univ-eiffel.fr
2 ETH Zurich, Switzerland, chatzi@ibk.baug.ethz.ch
3 University of Southern California, United States, ghanem@usc.edu
4 COPPE - Universidade Federal do Rio de Janeiro, Brazil, faro@mecanica.coppe.ufrj.br
5 Columbia University, United States, wsun@columbia.edu
Abstract
This mini-symposium focuses on the recent developments in uncertainty quantification and scientific machine learning, with applications in computational dynamics. The applications may concern, among others:
- Computational solid dynamics.
- Computational fluid dynamics.
- Fluid-structure interactions and coupled problems.
- Soil structure interactions in dynamics.
- Wave propagation in random media and metamaterials.
- Crack propagation in dynamics.
- Structural health monitoring in dynamics and damage.
- Designs of experiments and autonomous decision making.
- Digital twins for dynamics problems.
- Surrogate modeling.
- Reduced-order modeling.
- Multiscale modeling.
- Optimization under uncertainties.
- Stochastic inverse problems, model updating, and identification methods.
- Uncertain multiphysics linear and nonlinear computational dynamics.