Date(s) - 10/28/2020
9:35 AM - 10:45 AM
Structural Optimization for Performance-Based Wind Engineering
Speaker: Assistant Professor Dr. Arthriya Subgranon Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL
Urgent need to reduce losses in extreme wind events has prompted decision makers and engineers to develop risk mitigation strategies that aim to improve structural performance at feasible costs. To ensure that designs satisfy performance targets, performance-based wind engineering (PBWE) frameworks have been developed that rigorously predict the dynamic responses of wind excited systems and relate predicted engineering demands to performance metrics that are meaningful to decision-makers. In particular, probabilistic PBWE frameworks provide a means to estimate wind-induced losses, while explicitly taking into account uncertainty. To obtain cost-effective designs within this setting, optimization offers a powerful approach for the identification of minimum cost systems that satisfy sets of performance targets. This seminar will introduce a performance-based design optimization (PBDO) concept, which integrates structural optimization methods with PBWE frameworks. The talk will focus on an efficient PBDO approach that can be applied to large-scale wind-excited systems that are subject to probabilistic performance constraints. An extension to a multicriteria setting will be presented that provides decision-makers with a set of candidate designs, as well as insightful trade-off information concerning initial investment and anticipated losses due to damage induced by severe wind events.
Bio: Dr. Subgranon is an assistant professor in the Department of Civil and Coastal Engineering at the University of Florida, where she received her BS degree (Summa Cum Laude). She earned a PhD degree in Civil Engineering from the University of Michigan. Her research involves the general area of structural engineering with particular emphasis on reliability, performance-based design, structural optimization, probabilistic modeling and uncertainty propagation, and natural-hazard mitigation. She aims to expand her efforts to areas that contribute to the resilience and sustainability of the built environment, such as life-cycle engineering, post-hazard recovery, and data-informed optimal design and maintenance of infrastructure systems.