• Naoki Takano, Keio University
• Kazumi Matsui, Yokohama National University
• Heoung-Jae Chun, Yonsei University
• Vittorio Sansalone, Université Paris Est Créteil
• Tetsuya Matsuda, University of Tsukuba
• Shuji Moriguchi, Tohoku University

The aim of this mini-symposium is to exchange new ideas and to discuss recent progress in the computational methods for verification and validation (V&V), uncertainty modeling, uncertainty quantification and/or uncertainty propagation in engineering sciences. Relevant domains of applications include, but are not restricted to, manufacturing process, civil engineering, mechanical engineering, advanced materials, biomechanics and biomedical engineering.
Some keywords are listed below, but any topic from different aspects and contributed talks on practical/industrial applications are welcome to this MS.
- Stochastic/probabilistic computational scheme
- Polynomial chaos, expansion series approximation, perturbation method
- Monte Carlo simulation, efficient sampling in multi-dimensional random parameter space
- Bayesian approach, prior probability, posterior probability
- Uncertainty propagation in multiscale/multiphysics simulation
- Predictive simulation, quality assurance of products by virtual test
- Optimization and/or robust design considering uncertainty and/or variability
- Manufacturing process-induced defect and/or imperfection
- Variability in nonlinear material properties and fatigue behaviors of advanced materials
- Robust modeling of biological systems in vivo
- Inter-individual difference and intra-individual variability in biomechanical simulation
- Risk estimation through civil engineering simulation