Henry V Burton Ph.D., S.E.
Henry V Burton Ph.D., S.E.
Verified email at seas.ucla.edu - Homepage
Title
Cited by
Cited by
Year
Statistical procedures for developing earthquake damage fragility curves
D Lallemant, A Kiremidjian, H Burton
Earthquake Engineering & Structural Dynamics 44 (9), 1373-1389, 2015
1062015
Framework for incorporating probabilistic building performance in the assessment of community seismic resilience
HV Burton, G Deierlein, D Lallemant, T Lin
Journal of Structural Engineering 142 (8), C4015007, 2016
862016
Simulation of seismic collapse in nonductile reinforced concrete frame buildings with masonry infills
H Burton, G Deierlein
Journal of Structural Engineering 140 (8), A4014016, 2014
652014
Predicting the dissolution kinetics of silicate glasses using machine learning
NMA Krishnan, S Mangalathu, MM Smedskjaer, A Tandia, H Burton, ...
Journal of Non-Crystalline Solids 487, 37-45, 2018
402018
A machine learning framework for assessing post-earthquake structural safety
Y Zhang, HV Burton, H Sun, M Shokrabadi
Structural safety 72, 1-16, 2018
322018
Risk-based assessment of aftershock and mainshock-aftershock seismic performance of reinforced concrete frames
M Shokrabadi, HV Burton
Structural Safety 73, 64-74, 2018
242018
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
192017
Impact of sequential ground motion pairing on mainshock-aftershock structural response and collapse performance assessment
M Shokrabadi, HV Burton, JP Stewart
Journal of Structural Engineering 144 (10), 04018177, 2018
152018
Integrating performance-based engineering and urban simulation to model post-earthquake housing recovery
HV Burton, SB Miles, H Kang
Earthquake Spectra 34 (4), 1763-1785, 2018
132018
Quantifying the Reduction in Collapse Safety of Mainshock-Damaged Reinforced Concrete Frames with Infills
HV Burton, M Sharma
Earthquake Spectra 33 (1), 25-44, 2017
132017
Classification of in-plane failure modes for reinforced concrete frames with infills using machine learning
H Huang, HV Burton
Journal of Building Engineering 25, 100767, 2019
112019
Experimental push-out investigation on the in-plane force-deformation behavior of integrally-attached timber Through-Tenon joints
AR Rad, Y Weinand, H Burton
Construction and Building Materials 215, 925-940, 2019
102019
Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions
S Mangalathu, HV Burton
International Journal of Disaster Risk Reduction 36, 101111, 2019
102019
Community of practice for modeling disaster recovery
SB Miles, HV Burton, H Kang
Natural Hazards Review 20 (1), 04018023, 2019
102019
Measuring the impact of enhanced building performance on the seismic resilience of a residential community
HV Burton, G Deierlein, D Lallemant, Y Singh
Earthquake spectra 33 (4), 1347-1367, 2017
102017
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
92020
Performance assessment of through-tenon timber joints under tension loads
AR Rad, H Burton, Y Weinand
Construction and Building Materials 207, 706-721, 2019
92019
Seismic performance of a self-centering steel moment frame building: From component-level modeling to economic loss assessment
X Guan, H Burton, S Moradi
Journal of Constructional Steel Research 150, 129-140, 2018
92018
Building service life economic loss assessment under sequential seismic events
M Shokrabadi, HV Burton
Earthquake Engineering & Structural Dynamics 47 (9), 1864-1881, 2018
92018
Integrating visual damage simulation, virtual inspection, and collapse capacity to evaluate post‐earthquake structural safety of buildings
HV Burton, GG Deierlein
Earthquake Engineering & Structural Dynamics 47 (2), 294-310, 2018
92018
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