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Machine learning for risk and resilience assessment in structural engineering: Progress and future trends
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
Probabilistic tsunami hazard and risk analysis: A review of research gaps
Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To
prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis …
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 …
After recent large earthquakes, field investigations confirmed that several bridges were
severely damaged and collapsed not only due to the earthquake, as an independent …
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 …
seismic vulnerability and environmental impacts of a class of buildings at a particular …
Giant tsunami monitoring, early warning and hazard assessment
Earthquake-triggered giant tsunamis can cause catastrophic disasters to coastal
populations, ecosystems and infrastructure on scales over thousands of kilometres. In …
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
With the goal to facilitate evaluation and mitigation of the risks from natural hazards, the
Natural Hazards Engineering Research Infrastructure's Computational Modeling, and …
Natural Hazards Engineering Research Infrastructure's Computational Modeling, and …
Methodology to generate earthquake-tsunami fragility surfaces for community resilience modeling
Community resilience analysis and performance-based tsunami design methods typically
use separate fragility curves for earthquake and near-field tsunami hazards to predict …
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
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 …
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
Current flood vulnerability analyses rely on deterministic methods (eg, stage–damage
functions) to quantify resulting damage and losses to the built environment. While such …
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
This study quantifies the effects of long-duration earthquakes on the behavior of reinforced
concrete (RC) buildings subjected to successive earthquake-tsunamis through the …
concrete (RC) buildings subjected to successive earthquake-tsunamis through the …