An enhanced PDEM-based framework for reliability analysis of structures considering multiple failure modes and limit states

DC Feng, XY Cao, M Beer - Probabilistic Engineering Mechanics, 2022 - Elsevier
In this paper, an enhanced probability density evolution method (PDEM) framework
considering multiple failure modes and limit states is proposed for reliability analysis of …

Recovery-based seismic resilience enhancement strategies of water distribution networks

W Liu, Z Song, M Ouyang, J Li - Reliability Engineering & System Safety, 2020 - Elsevier
This study investigates different pipe recovery strategies of water distribution networks
(WDNs) from the seismic resilience perspective. A demand-based seismic resilience index …

An active-learning reliability method based on support vector regression and cross validation

T Zhou, Y Peng - Computers & Structures, 2023 - Elsevier
To reduce the high computational cost of the probability density evolution method (PDEM)
for structural reliability analysis, an active-learning reliability method that combines the …

Novel nonlinear time-varying fatigue reliability analysis based on the probability density evolution method

K Gao, G Liu - International Journal of Fatigue, 2021 - Elsevier
The evolution of fatigue damage in materials of structures under cyclic loading is a time-
varying cumulative process. Method on time-varying fatigue reliability analysis is scarce due …

Failure prediction of municipal water pipes using machine learning algorithms

W Liu, B Wang, Z Song - Water Resources Management, 2022 - Springer
Pipe failure prediction has become a crucial demand of operators in daily operation and
asset management due to the increase in operation risks of water distribution networks. In …

Adaptive maintenance window-based opportunistic maintenance optimization considering operational reliability and cost

Y Lu, S Wang, C Zhang, R Chen, H Dui, R Mu - Reliability Engineering & …, 2024 - Elsevier
Opportunistic maintenance (OM) reduces maintenance costs by combining the maintenance
of multiple components. It has recently been widely used in complex systems. However, few …

Predicting water pipe failures using deep learning algorithms

W Liu, Z Xie, Z Song - Journal of Infrastructure Systems, 2023 - ascelibrary.org
With the increase in the operation risks of water distribution networks (WDNs), the prediction
of pipe failures is of great significance in developing efficient maintenance strategies. This …

An integrated methodology for the supply reliability analysis of multi-product pipeline systems under pumps failure

X Zhou, P van Gelder, Y Liang, H Zhang - Reliability Engineering & System …, 2020 - Elsevier
As the main way for the long-distance transportation of refined products, multi-products
pipelines are of vital importance to the regional energy security. The supply reliability …

Operation safety risk assessment of water distribution networks based on the combined weighting method (CWM)

W Liu, W Cui, M Chen, Q Hu, Z Song - KSCE Journal of Civil Engineering, 2023 - Springer
This study proposes the risk assessment framework of water distribution networks with a
focus on the determination of weights of various risk indices. First, the pipe risk list is built, in …

Probability prediction approach of fatigue failure for the subsea wellhead using bayesian regularization artificial neural network

J Li, Y Chang, J Shi, X Liu, G Chen, N Zhang… - Journal of Marine …, 2022 - mdpi.com
The subsea wellhead (SW) system is a crucial connection between blowout preventors
(BOPs) and subsea oil and gas wells. Excited by cyclical fatigue dynamic loadings, the SW …