A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method
G Chen, D Yang - Mechanical Systems and Signal Processing, 2021 - Elsevier
Generally, the static and dynamic reliabilities of structures are addressed separately in the
existing methods except the computationally expensive stochastic sampling-based …
existing methods except the computationally expensive stochastic sampling-based …
Parallel adaptive Bayesian quadrature for rare event estimation
Various numerical methods have been extensively studied and used for reliability analysis
over the past several decades. However, how to understand the effect of numerical …
over the past several decades. However, how to understand the effect of numerical …
An efficient and versatile Kriging-based active learning method for structural reliability analysis
In structural reliability analysis, the development of an efficient and versatile active learning
method applicable to problems of varying complexities remains a challenging task. The …
method applicable to problems of varying complexities remains a challenging task. The …
Consistency evaluation and cluster analysis for lithium-ion battery pack in electric vehicles
Consistency is an essential factor affecting the operation of lithium-ion battery packs. Pack
consistency evaluation is of considerable significance to the usage of batteries. Many …
consistency evaluation is of considerable significance to the usage of batteries. Many …
Globally-evolving-based generalized density evolution equation for nonlinear systems involving randomness from both system parameters and excitations
It has long been one of the main challenges in science and engineering to capture the
probabilistic response of high-dimensional nonlinear stochastic dynamic systems involving …
probabilistic response of high-dimensional nonlinear stochastic dynamic systems involving …
A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis
The spatial variability of the properties of natural soils is one of the major sources of
uncertainties that can influence the performance of geotechnical structures. The direct Monte …
uncertainties that can influence the performance of geotechnical structures. The direct Monte …
First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach
First-passage probability estimation of high-dimensional nonlinear stochastic dynamic
systems is a significant task to be solved in many science and engineering fields, but …
systems is a significant task to be solved in many science and engineering fields, but …
A multi-criteria decision-making framework for sustainable supplier selection in the circular economy and Industry 4.0 era
Z Xie, G Tian, Y Tao - Sustainability, 2022 - mdpi.com
Supplier selection is a difficult and important issue in sustainable supply chain management.
This research proposes a managerial framework based on Industry 4.0, a plan for evaluating …
This research proposes a managerial framework based on Industry 4.0, a plan for evaluating …
A single-loop time-variant reliability evaluation via a decoupling strategy and probability distribution reconstruction
In this paper, a single-loop approach for time-variant reliability evaluation is proposed based
on a decoupling strategy and probability distribution reconstruction. The most attractive …
on a decoupling strategy and probability distribution reconstruction. The most attractive …
Stochastic analysis of structures under limited observations using kernel density estimation and arbitrary polynomial chaos expansion
R Zhang, H Dai - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
Over the past decades there has been considerable interest among the scientific community
in modeling random system inputs from limited observations and propagating the system …
in modeling random system inputs from limited observations and propagating the system …