Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems

K Lu, Y Jin, Y Chen, Y Yang, L Hou, Z Zhang… - … Systems and Signal …, 2019 - Elsevier
This paper presents a review of proper orthogonal decomposition (POD) methods for order
reduction in a variety of research areas. The historical development and basic mathematical …

Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review

C Song, R Kawai - Probabilistic Engineering Mechanics, 2023 - Elsevier
Monte Carlo methods have attracted constant and even increasing attention in structural
reliability analysis with a wide variety of developments seamlessly presented over decades …

Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life

C Hu, BD Youn, P Wang, JT Yoon - Reliability Engineering & System Safety, 2012 - Elsevier
Prognostics aims at determining whether a failure of an engineered system (eg, a nuclear
power plant) is impending and estimating the remaining useful life (RUL) before the failure …

A nested extreme response surface approach for time-dependent reliability-based design optimization

Z Wang, P Wang - Journal of Mechanical Design, 2012 - asmedigitalcollection.asme.org
A primary concern in practical engineering design is ensuring high system reliability
throughout a product's lifecycle, which is subject to time-variant operating conditions and …

Resilience-driven system design of complex engineered systems

BD Youn, C Hu, P Wang - 2011 - asmedigitalcollection.asme.org
Most engineered systems are designed with a passive and fixed design capacity and,
therefore, may become unreliable in the presence of adverse events. Currently, most …

An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations

X Ma, N Zabaras - Journal of Computational Physics, 2010 - Elsevier
A computational methodology is developed to address the solution of high-dimensional
stochastic problems. It utilizes high-dimensional model representation (HDMR) technique in …

Time-variant reliability assessment through equivalent stochastic process transformation

Z Wang, W Chen - Reliability Engineering & System Safety, 2016 - Elsevier
Time-variant reliability measures the probability that an engineering system successfully
performs intended functions over a certain period of time under various sources of …

A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis

Z Wang, P Wang - Reliability Engineering & System Safety, 2015 - Elsevier
Dynamic reliability measures reliability of an engineered system considering time-variant
operation condition and component deterioration. Due to high computational costs …

A new sparse grid based method for uncertainty propagation

F Xiong, Y Xiong, S Greene… - … and information in …, 2009 - asmedigitalcollection.asme.org
Although a variety of uncertainty propagation methods exist for estimating the statistical
moments and the probability of failure in design under uncertainty, current methods suffer …

Confidence-based adaptive extreme response surface for time-variant reliability analysis under random excitation

Z Wang, W Chen - Structural Safety, 2017 - Elsevier
Time-variant reliability analysis aims at revealing the time evolution of the reliability of an
engineered system under time-dependent uncertainties that are best described by random …