News
- Image database for deep-learning of seismic damage from experimental results and earthquake reconnaissance
- Morphological algorithm for evaluation of seismic damage
- Combining the classification by deep-learning and morphological algorithm etc.
- Monitoring technology for structure and non-structural component
- New technology for disaster resilient society etc.
The 5th International Symposium (2020/Spring)
Location:
Beijing or Shanghai, China
Program:
Coming Soon...
Project Outline
Objective
The purpose of this research is to develop a high-accuracy, quick and easy-to-implement earthquake damage assessment technology that utilizes the latest information technology.Specifically, the digital images of building damage are not only instantly judged by deep learning, but also used to evalute the amount of damage that contribute to the determination of residual seismic capacity of building structure.
Topics
(1) Construction of database of digital images about building damage for deep learning
(2) Developing the more sophisticated and cutting-edge tecnology for seismic performance evaluation
Member
Chinese member
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Assoc. Prof. Xiaodong Ji (Tsinghua University) as P.I.
Prof. Peng Pan (Tsinghua University)
Assoc. Prof. Zuozhou Zhao (Tsinghua University)
Prof. Tao Wang (IEM, China Earthquake Administration)
Assoc. Prof. Xuchuan Lin (IEM, China Earthquake Administration)
Japanese member
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Prof. Taichiro Okazaki (Hokkaido University) as P.I.
Assoc. Prof. Takuya Nagae (Nagoya University)
Prof. Ippei Maruyama (Nagoya University)
Assoc. Prof. Noriyuki Takahashi (Tohoku University)
Assoc. Prof. Tomohiro Matsumiya (Kindai University)
Assoc. Prof. Ryota Matsui (Hokkaido University)