Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

Y Xu, S Kohtz, J Boakye, P Gardoni, P Wang - Reliability Engineering & …, 2023 - Elsevier
The computerized simulations of physical and socio-economic systems have proliferated in
the past decade, at the same time, the capability to develop high-fidelity system predictive …

Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia

V Aryai, R Abbassi, N Abdussamie, F Salehi… - Process Safety and …, 2021 - Elsevier
Sustainable use of the ocean for food and energy production is an emerging area of
research in different countries around the world. This goal is pursued by the Australian …

Modeling time-varying reliability and resilience of deteriorating infrastructure

L Iannacone, N Sharma, A Tabandeh… - Reliability Engineering & …, 2022 - Elsevier
The spatial and temporal extent of disruptions to services provided by infrastructure
following disruptive events is directly related to the instantaneous state of the infrastructure …

Seismic risk and resilience analysis of networked industrial facilities

A Tabandeh, N Sharma, P Gardoni - Bulletin of Earthquake Engineering, 2024 - Springer
Industrial facilities, as an essential part of socio-economic systems, are susceptible to
disruptions caused by earthquakes. Such disruptions may result from direct structural …

Considering uncertainty in corrosion process to estimate life-cycle seismic vulnerability and risk of aging bridge piers

BS Vishwanath, S Banerjee - Reliability Engineering & System Safety, 2023 - Elsevier
Gradual deterioration of RC bridges due to chloride-induced corrosion is of concern for
bridge durability and life-cycle performance assessment under earthquakes. Uncertainties …

Fragility analyses of bridge structures using the logarithmic piecewise function-based probabilistic seismic demand model

Y Zhao, H Hu, L Bai, M Tang, H Chen, D Su - Sustainability, 2021 - mdpi.com
Seismic fragility analysis is an efficient method to evaluate the structural failure probability
during earthquake events. Among the existing fragility analysis methods, the probabilistic …

Multi-level time-variant vulnerability assessment of deteriorating bridge networks with structural condition records

X Lei, Y Xia, Y Dong, L Sun - Engineering Structures, 2022 - Elsevier
Bridges are critical to ensuring access to all parts of the transportation network, and they are
also the most vulnerable infrastructures. This study proposes a multi-level vulnerability …

Probabilistic demand models and fragilities for reinforced concrete frame structures subject to mainshock-aftershock sequences

Z Zhou, H Xu, P Gardoni, D Lu, X Yu - Engineering Structures, 2021 - Elsevier
This paper presents a formulation for developing seismic demand models and estimating
fragilities for reinforced concrete (RC) structures under mainshocks (MSs) only and …

Seismic demand and capacity models, and fragility estimates for underground structures considering spatially varying soil properties

Z He, H Xu, P Gardoni, Y Zhou, Y Wang… - … and Underground Space …, 2022 - Elsevier
This study proposes probabilistic seismic demand and capacity models for underground
structures considering the spatial distribution characteristics of soil properties. The proposed …

Risk-informed digital twin of buildings and infrastructures for sustainable and resilient urban communities

U Alibrandi - ASCE-ASME Journal of Risk and Uncertainty in …, 2022 - ascelibrary.org
The digital twin (DT) is a virtual replica of real-world buildings, processes, structures, people,
and systems created and maintained to answer questions about its physical part, the …