Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges
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 …
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
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 …
research in different countries around the world. This goal is pursued by the Australian …
Modeling time-varying reliability and resilience of deteriorating infrastructure
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 …
following disruptive events is directly related to the instantaneous state of the infrastructure …
Seismic risk and resilience analysis of networked industrial facilities
Industrial facilities, as an essential part of socio-economic systems, are susceptible to
disruptions caused by earthquakes. Such disruptions may result from direct structural …
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 …
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 …
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
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 …
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
This paper presents a formulation for developing seismic demand models and estimating
fragilities for reinforced concrete (RC) structures under mainshocks (MSs) only and …
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
This study proposes probabilistic seismic demand and capacity models for underground
structures considering the spatial distribution characteristics of soil properties. The proposed …
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 …
and systems created and maintained to answer questions about its physical part, the …