Title: Methods for Engineering Design under Uncertainty Brief Abstract: With today’s increasing and global competition, probabilistic design methods with consideration of uncertainty in design have been gaining much attention. The consideration of uncertainty enables engineers to make reliable decisions, to lessen quality loss, to manage risk, and to avoid over-conservative designs. However, decision making under uncertainty poses a challenging and complex optimization problem. A rigorous design framework and efficient computational techniques are therefore needed. In this talk, recent research developments in efficient robustness and reliability (R&R) assessments and affordable probabilistic optimization, metamodeling techniques, probabilistic sensitivity analysis, multidisciplinary design optimization under uncertainty, and model validation will be presented. CSRI POC: Tim Trucano, (505) 844-8812 |