ABSTRACT: To improve earthquake preparedness and response, it is desirable to predict earthquake hazards, damage, and response over a wide area with high accuracy and resolution for a given earthquake scenario. Integrated earthquake simulation realizes this prediction by numerically analyzing an entire city. The basic technologies of the integrated earthquake simulation are large-scale numerical analysis using high-perfor-mance computation and automatic construction of analytical models using city data. In this lecture, the two basic technologies will be outlined and concrete examples will be presented. As examples of integrated earth-quake simulation, the Tokyo metropolitan area earthquake and the Nankai Trough earthquake that will hit the Kansai region will be explained. These two examples include physics-based simulations of earthquake wave propagation and amplification and seismic response of various structures, as well as social science simulations of post-disaster traffic flows and economic activities.
BIO: Prof. Muneo Hori is a Director-General at Research Institute for Value-Added-Information Generation, Japan Agency for Marine-Earth Science and Technology, and a Project Professor at School of Engineering, the University of Tokyo. He also serves as a Program Director for the Cabinet Office of Japan, and a Program Officer at Japan Science and Technology Agency. He obtained his B.S. from the University of Tokyo, and obtained his M.S. and Ph.D. from Northwestern University and University of California, San Diego, respectively. His research interests include computational earthquake engineering with an emphasis on developing large-scale simula-tion system, as well as applied mechanics and mathematics for deformation and fracture of solid. He has received numerous awards, such as the Commendation for Science and Technology by the Minister of Educa-tion, Culture, Sports, Science and Technology, Japan, and Award of for Gas Safety and Security by the Ministry of Economy, Trade and Industry, Japan.
Time： October 21 21:00 Beijing Time
Venue： ZOOM
