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 …

Analytical fragility relation for buried cast iron pipelines with lead-caulked joints based on machine learning algorithms

N Zhao, DQ Li, SX Gu, W Du - Earthquake Spectra, 2024 - journals.sagepub.com
A new numerical-based fragility relation for cast iron (CI) pipelines with lead-caulked joints
subjected to seismic body-wave propagation is proposed in this article. Two-dimensional …

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 …

Incorporating seismic risk assessment into the determination of the optimal route for gas pipelines

SH Alavi, MR Mashayekhi… - Sustainable and Resilient …, 2024 - Taylor & Francis
Earthquake-induced damage to gas pipelines can have severe economic, social, and
environmental consequences. To mitigate these risks, one effective way is to carefully …

Risk analysis of supply chains: The role of supporting structures and infrastructure

F Nocera, A Contento, P Gardoni - Reliability Engineering & System Safety, 2024 - Elsevier
Supply chains include multimodal transportation infrastructure that span multiple countries
for sourcing and supplying goods and services. Natural hazards may damage components …

[HTML][HTML] Evaluating the generalizability and transferability of water distribution deterioration models

S Daulat, MM Rokstad, S Bruaset, J Langeveld… - Reliability Engineering & …, 2024 - Elsevier
Small utilities often lack the required amount of data to train machine learning-based models
to predict pipe failures, and hence are unable to harness the possibilities and predictive …

[HTML][HTML] Functional connectivity analysis for modeling flow in infrastructure

J Yu, N Sharma, P Gardoni - Reliability Engineering & System Safety, 2024 - Elsevier
The performance loss of infrastructure caused by hazards can disrupt economic activities,
obstruct emergency responses, and be detrimental to society's well-being and recovery …

A study of neural network-based evaluation methods for pipelines with multiple corrosive regions

Z Zhang, S Li, H Wang, H Qian, C Gong, Q Wu… - Reliability Engineering & …, 2025 - Elsevier
In recent years, significant developments have been made in methods for assessing the
remaining strength of corroded pipelines. However, existing methods have limitations as …

Protocol for the Validation of Models for Regional Risk Analysis

YC Yu, N Sharma, P Gardoni - ASCE-ASME Journal of Risk and …, 2024 - ascelibrary.org
Regional risk analysis provides information for decisions made by communities, state and
federal agencies, and the insurance industry. The analyses involve comprehensive …

Reliability assessment of pipelines crossing strike-slip faults considering modeling uncertainties using ANN models

HC Phan, AS Dhar, ND Bui - Reliability Engineering & System Safety, 2023 - Elsevier
Buried pipelines are crucial infrastructure that sometimes suffers from the adverse effects of
ground movements resulting from the earthquake. A pipe crossing strike-slip fault can …