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 …

Integrated platform to assess seismic resilience at the community level

S Marasco, A Cardoni, AZ Noori, O Kammouh… - Sustainable Cities and …, 2021 - Elsevier
Due to the increasing frequency of disastrous events, the challenge of creating large-scale
simulation models has become of major significance. Indeed, several simulation strategies …

Adapting urban transport planning to the COVID-19 pandemic: An integrated fermatean fuzzy model

V Simić, I Ivanović, V Đorić, AE Torkayesh - Sustainable Cities and Society, 2022 - Elsevier
The critical worldwide problem of adapting urban transport planning to COVID-19 is for the
first time comprehensively addressed and solved in this study. It primarily aims to help …

Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks

O Kammouh, P Gardoni, GP Cimellaro - Reliability Engineering & System …, 2020 - Elsevier
Resilience indicators are a convenient tool to assess the resilience of engineering systems.
They are often used in preliminary designs or in the assessment of complex systems. This …

Large scale simulation of pedestrian seismic evacuation including panic behavior

M De Iuliis, E Battegazzorre, M Domaneschi… - Sustainable Cities and …, 2023 - Elsevier
Understanding human behavior and predicting evacuation processes subsequently to an
earthquake are critical aspects to provide valuable information to support disaster response …

A simplified prediction model of structural seismic vulnerability considering a multivariate fuzzy membership algorithm

SQ Li - Journal of Earthquake Engineering, 2024 - Taylor & Francis
Fuzzy decision-making and analytic hierarchical processes are ubiquitously used to predict
the seismic damage and vulnerability of building clusters. However, the factors affecting the …

Quantitative modeling of residential building disaster recovery and effects of pre-and post-event policies

WL Wang, JW van de Lindt - International Journal of Disaster Risk …, 2021 - Elsevier
Understanding the process of community recovery impacted by various post-disaster
decisions such as dynamic policies can effectively guide the recovery process and expedite …

Modelling and quantification of time-varying flood resilience for housing infrastructure using dynamic Bayesian Network

MK Sen, S Dutta, G Kabir - Journal of Cleaner Production, 2022 - Elsevier
Natural hazards regularly cause severe damage to infrastructure systems. While these risks
are highly unpredictable, the concept of resilience can be employed to make infrastructure …

Resilience assessment of urban communities

O Kammouh, A Zamani Noori… - ASCE-ASME Journal …, 2019 - ascelibrary.org
The multiple uncertainties of both natural and human-caused disasters have attracted
increased attention to the topic of resilience engineering. In this paper, an indicator-based …

Seismic resilience assessment of emergency departments based on the state tree method

Q Shang, T Wang, J Li - Structural Safety, 2020 - Elsevier
Hospital emergency departments are highly important systems and treat injured people
during earthquakes. It is essential that their functionality is maintained during or recovered …