I am a passionate researcher in (1) performance-based seismic design of tall buildings; (2) seismic resilience and risk assessment of building clusters and urban community; (3) machine learning application in building industry. I am also a devoted coder in Matlab, Python and R.
Nonlinear Response History Analysis is essential to retrieve building's seismic responses and conduct damage detection of individual structure, resilience and risk assessment of a cluster buildings and community. However, it is extremely computational expensive and requires enormous storage to save all data.
The database project BSRD@UCLA allows researchers and practitioners to download various building seismic response data under different earthquake scenarios at wide range of geo-locations. They can also upload their analysis result and share within the community.
Additional features include demonstration of research highlights using this database. This project is founded by NSF award number 1538866.