David Lallemant
David Lallemant
Nanyang Technological University / Stanford Urban Resilience Initiative
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Zitiert von
Zitiert von
Statistical procedures for developing earthquake damage fragility curves
D Lallemant, A Kiremidjian, H Burton
Earthquake Engineering & Structural Dynamics 44 (9), 1373-1389, 2015
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, 2016
A comprehensive analysis of building damage in the 12 January 2010 MW7 Haiti earthquake using high-resolution satelliteand aerial imagery
C Corbane, K Saito, L Dell’Oro, E Bjorgo, SPD Gill, B Emmanuel Piard, ...
Photogrammetric Engineering & Remote Sensing 77 (10), 997-1009, 2011
Development of empirical and analytical fragility functions using kernel smoothing methods
HY Noh, D Lallemant, AS Kiremidjian
Earthquake Engineering & Structural Dynamics 44 (8), 1163-1180, 2015
Invited perspectives: How machine learning will change flood risk and impact assessment.
D Wagenaar, A Curran, M Balbi, A Bhardwaj, R Soden, E Hartato, ...
Natural Hazards & Earth System Sciences 20 (4), 2020
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
Post-disaster damage assessments as catalysts for recovery: A look at assessments conducted in the wake of the 2015 Gorkha, Nepal, earthquake
D Lallemant, R Soden, S Rubinyi, S Loos, K Barns, G Bhattacharjee
Earthquake Spectra 33 (S1), S435-S451, 2017
A Beta Distribution Model for Characterizing Earthquake Damage State Distribution
D Lallemant, A Kiremidjian
Earthquake Spectra 31 (3), 1337-1352, 2015
G-DIF: A geospatial data integration framework to rapidly estimate post-earthquake damage
S Loos, D Lallemant, J Baker, J McCaughey, SH Yun, N Budhathoki, ...
Earthquake Spectra 36 (4), 1695-1718, 2020
Nature-based solutions for flood risk reduction: A probabilistic modeling framework
D Lallemant, P Hamel, M Balbi, TN Lim, R Schmitt, S Win
One Earth 4 (9), 1310-1321, 2021
Modeling downward counterfactual events: Unrealized disasters and why they matter
YC Lin, SF Jenkins, JR Chow, S Biass, G Woo, D Lallemant
Frontiers in Earth Science 8, 575048, 2020
Self compacting hybrid fiber reinforced concrete composites for bridge columns
G Jen, W Trono, D Lallemant, M Panagiotou, CP Ostertag
Pacific Earthquake Engineering Research Center, 2011
Tsunami damage to ports: Cataloguing damage to create fragility functions from the 2011 Tohoku event
CT Chua, AD Switzer, A Suppasri, L Li, K Pakoksung, D Lallemant, ...
Natural Hazards and Earth System Sciences 21 (6), 1887-1908, 2021
Tephra cushioning of ballistic impacts: Quantifying building vulnerability through pneumatic cannon experiments and multiple fragility curve fitting approaches
GT Williams, BM Kennedy, D Lallemant, TM Wilson, N Allen, A Scott, ...
Journal of Volcanology and Geothermal Research 388, 106711, 2019
The Disaster and Climate Change Artathon: Staging Art/Science Collaborations in Crisis Informatics
R Soden, P Hamel, D Lallemant, J Pierce
Proceedings of the 2020 ACM on Designing Interactive Systems Conference …, 2020
A framework and case study for earthquake vulnerability assessment of incrementally expanding buildings
D Lallemant, H Burton, L Ceferino, Z Bullock, A Kiremidjian
Earthquake Spectra 33 (4), 1369-1384, 2017
Adaptive decision-making for civil infrastructure systems and communities exposed to evolving risks
JY Lee, HV Burton, D Lallemant
Structural Safety 75, 1-12, 2018
Damage assessment for the 2018 lower East Rift Zone lava flows of Kīlauea volcano, Hawaiʻi
ES Meredith, SF Jenkins, JL Hayes, NI Deligne, D Lallemant, M Patrick, ...
Bulletin of Volcanology 84 (7), 1-23, 2022
Modeling the Future Disaster Risk of Cities to Envision Paths towards Their Future Resilience
D Lallemant
Stanford University, 2015
Order matters: the benefits of ordinal fragility curves for damage and loss estimation
M Nguyen, D Lallemant
Risk Analysis 42 (5), 1136-1148, 2022
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