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 …
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 …
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
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 …
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
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 …
throughout a product's lifecycle, which is subject to time-variant operating conditions and …
Resilience-driven system design of complex engineered systems
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 …
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
A computational methodology is developed to address the solution of high-dimensional
stochastic problems. It utilizes high-dimensional model representation (HDMR) technique in …
stochastic problems. It utilizes high-dimensional model representation (HDMR) technique in …
Time-variant reliability assessment through equivalent stochastic process transformation
Time-variant reliability measures the probability that an engineering system successfully
performs intended functions over a certain period of time under various sources of …
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
Dynamic reliability measures reliability of an engineered system considering time-variant
operation condition and component deterioration. Due to high computational costs …
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 …
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
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 …
engineered system under time-dependent uncertainties that are best described by random …