Machine learning applications for building structural design and performance assessment: State-of-the-art review H Sun, HV Burton, H Huang Journal of Building Engineering 33, 101816, 2021 | 488 | 2021 |
Classifying earthquake damage to buildings using machine learning S Mangalathu, H Sun, CC Nweke, Z Yi, HV Burton Earthquake Spectra 36 (1), 183-208, 2020 | 252 | 2020 |
A machine learning framework for assessing post-earthquake structural safety Y Zhang, HV Burton, H Sun, M Shokrabadi Structural safety 72, 1-16, 2018 | 235 | 2018 |
Estimating aftershock collapse vulnerability using mainshock intensity, structural response and physical damage indicators HV Burton, S Sreekumar, M Sharma, H Sun Structural safety 68, 85-96, 2017 | 75 | 2017 |
Reconstructing seismic response demands across multiple tall buildings using kernel‐based machine learning methods H Sun, H Burton, J Wallace Structural Control and Health Monitoring 26 (7), e2359, 2019 | 43 | 2019 |
Interbuilding interpolation of peak seismic response using spatially correlated demand parameters H Sun, H Burton, Y Zhang, J Wallace Earthquake Engineering & Structural Dynamics 47 (5), 1148-1168, 2018 | 22 | 2018 |
A relational database to support post-earthquake building damage and recovery assessment M Omoya, I Ero, M Zaker Esteghamati, HV Burton, S Brandenberg, H Sun, ... Earthquake Spectra 38 (2), 1549-1569, 2022 | 17 | 2022 |
Development of a generalized cross-building structural response reconstruction model using strong motion data H Sun, HV Burton, JP Stewart, JW Wallace Journal of Structural Engineering 148 (6), 04022053, 2022 | 7 | 2022 |
A data-driven building seismic response prediction framework: From simulation and recordings to statistical learning H Sun University of California, Los Angeles, 2019 | 5 | 2019 |
Relational database for building strong motion recordings used for seismic impact assessments E Abdelmalek-Lee, T Jain, S Galicia Madero, H Sun, H Burton, J Wallace Earthquake Spectra 39 (2), 1277-1297, 2023 | 4 | 2023 |
Prediction Model Development of Seismic Building Responses H Sun University of California, Los Angeles, 2018 | 2 | 2018 |