A digital twin approach and AI: making cities more resilient

Japan is among the nations heavily affected by natural disasters. The devastating 2011 Mw 9.0 Great East Japan Earthquake triggered a series of tsunamis, leading to the loss of thousands of lives in the coastal areas of northeastern Japan. Our study focuses on developing a framework that integrates physics-based and data-driven modeling for real-time dynamic simulations, with the objective of improving disaster prevention and mitigation. This research spans computational mechanics and engineering science, utilizing Bayesian inference, artificial intelligence, and advanced sensing technologies. Our goal is to use digital twin approach to make cities more resilient, enabling buildings and cities to adapt to and recover from hazards in a more intelligent and efficient manner.

URL

https://www.agrifacility.kais.kyoto-u.ac.jp/staff/guo/index.html (in Japanese)
https://jiaguocv.github.io/