Machine learning for risk and resilience assessment in structural engineering: Progress and future trends

X Wang, RK Mazumder, B Salarieh… - Journal of Structural …, 2022 - ascelibrary.org
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …

Probabilistic tsunami hazard and risk analysis: A review of research gaps

J Behrens, F Løvholt, F Jalayer, S Lorito… - Frontiers in Earth …, 2021 - frontiersin.org
Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To
prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis …

Toward life-cycle reliability-, risk-and resilience-based design and assessment of bridges and bridge networks under independent and interacting hazards: emphasis …

M Akiyama, DM Frangopol… - Structure and Infrastructure …, 2020 - Taylor & Francis
After recent large earthquakes, field investigations confirmed that several bridges were
severely damaged and collapsed not only due to the earthquake, as an independent …

Develo** data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design

MZ Esteghamati, MM Flint - Engineering Structures, 2021 - Elsevier
This paper presents a framework to develop generalizable surrogate models to predict
seismic vulnerability and environmental impacts of a class of buildings at a particular …

Giant tsunami monitoring, early warning and hazard assessment

N Mori, K Satake, D Cox, K Goda, PA Catalan… - Nature Reviews Earth & …, 2022 - nature.com
Earthquake-triggered giant tsunamis can cause catastrophic disasters to coastal
populations, ecosystems and infrastructure on scales over thousands of kilometres. In …

A cloud-enabled application framework for simulating regional-scale impacts of natural hazards on the built environment

GG Deierlein, F McKenna, A Zsarnóczay… - Frontiers in Built …, 2020 - frontiersin.org
With the goal to facilitate evaluation and mitigation of the risks from natural hazards, the
Natural Hazards Engineering Research Infrastructure's Computational Modeling, and …

Methodology to generate earthquake-tsunami fragility surfaces for community resilience modeling

M Harati, JW van de Lindt - Engineering Structures, 2024 - Elsevier
Community resilience analysis and performance-based tsunami design methods typically
use separate fragility curves for earthquake and near-field tsunami hazards to predict …

[HTML][HTML] Multi-disciplinary seismic resilience modeling for develo** mitigation policies and recovery planning

M Roohi, S Ghasemi, O Sediek, H Jeon… - Resilient Cities and …, 2024 - Elsevier
The multi-disciplinary data and information available at a community level comprise the
foundation of natural hazard resilience modeling. These data enable and inform mitigation …

[HTML][HTML] Minimal building flood fragility and loss function portfolio for resilience analysis at the community level

OM Nofal, JW van de Lindt - Water, 2020 - mdpi.com
Current flood vulnerability analyses rely on deterministic methods (eg, stage–damage
functions) to quantify resulting damage and losses to the built environment. While such …

Impact of long-duration earthquakes on successive earthquake-tsunami fragilities for reinforced concrete frame archetypes

M Harati, JW van de Lindt - Journal of Structural Engineering, 2024 - ascelibrary.org
This study quantifies the effects of long-duration earthquakes on the behavior of reinforced
concrete (RC) buildings subjected to successive earthquake-tsunamis through the …