Probability density evolution method: background, significance and recent developments

J Li - Probabilistic Engineering Mechanics, 2016 - Elsevier
Investigation of a stochastic system from a viewpoint of studying the randomness
propagation process in a physical system starts to play an important role in understanding …

[PDF][PDF] 随机动力系统中的概率密度演化方程及其研究进展

李杰, 陈建兵 - 力学进展, 2010 - lxjz.cstam.org.cn
随机动力系统中的概率密度演化方程及其研究进展* Page 1 第40 卷第2 期 力学进展 Vol. 40 No.
2 2010 年3 月25 日 ADVANCES IN MECHANICS Mar. 25, 2010 随机动力系统中的概率密度 …

[图书][B] Stochastic dynamics of structures

J Li, J Chen - 2009 - books.google.com
In Stochastic Dynamics of Structures, Li and Chen present a unified view of the theory and
techniques for stochastic dynamics analysis, prediction of reliability, and system control of …

RBF-GA: An adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis

Z Jing, J Chen, X Li - Reliability Engineering & System Safety, 2019 - Elsevier
Owing to its time-consuming computation of complex structural responses, structural
reliability analysis is still one of the challenging tasks. In this work, based on the FORM, the …

Advances of the probability density evolution method for nonlinear stochastic systems

J Li, J Chen, W Sun, Y Peng - Probabilistic Engineering Mechanics, 2012 - Elsevier
New advances of the probability density evolution method for nonlinear stochastic systems
are presented. The principle of preservation of probability, as a fundamental law of …

Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions

J Liu, X Meng, C Xu, D Zhang, C Jiang - Computer Methods in Applied …, 2018 - Elsevier
In this study, a general frame of the forward and inverse structural uncertainty propagations
(UPs) based on the dimension reduction (DR) method and the derivative lambda probability …

Reliability assessment of stochastic dynamical systems using physics informed neural network based PDEM

S Das, S Tesfamariam - Reliability Engineering & System Safety, 2024 - Elsevier
In the recent decade, the reliability analysis of a stochastic system coupled with the
uncertainty related to the system's parameter has attracted much attention. Probability …

Damage identification of frame structure based on approximate Metropolis–Hastings algorithm and probability density evolution method

Y Yang, Y Ling, XK Tan, S Wang… - International Journal of …, 2022 - World Scientific
This paper proposes a new method to identify local damages in frame structures based on
approximate Metropolis–Hastings (AMH) algorithm and statistical moment. By analyzing the …

An efficient reliability method combining adaptive global metamodel and probability density evolution method

T Zhou, Y Peng, J Li - Mechanical Systems and Signal Processing, 2019 - Elsevier
An efficient reliability method, ie, AGM-PDEM, is presented which combines the adaptive
global metamodel (AGM) and the probability density evolution method (PDEM). The global …

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 …