Civil and Environmental Engineering Department Seminar: Sufficiency and Efficiency and Proficiency, Oh My! A Unified Metric for Seismic Intensity Measure Selection
Seminar | March 9 | 10-11 a.m. | 542 Davis Hall
Probabilistic Seismic Demand Analysis (PSDA) characterizes the response of buildings and other structures to the full range of future ground motions expected at a structure's site, and is widely used in research and practice. A critical assumption in implementing all forms of PSDA is the selection of the seismic Intensity Measure(s) used to correlate structural response to ground motion characteristics. The selection of optimal Intensity Measures (IMs) and ground motions will result in a low-uncertainty and unbiased PSDA, however, the identification of such optimal sets remains challenging.
A recently-developed approach quantifies the ability of IMs to produce accurate (sufficient) and precise (efficient) predictions of structural response using Information Theory. The new approach produces results that are specific to the hazard, site, and structure considered, and yet is generalizable and can be systematically applied. When combined with a proposed Bayesian procedure for vector probabilistic seismic hazard analysis, Information Theory can support the development of a statistically robust and holistic framework for identifying optimal IM and ground motion sets, ultimately improving the state of the art in performance-based earthquake engineering.