Random analysis of train-bridge coupled system under non-uniform ground motion

H Zhao, B Wei, P Guo, J Tan, P Xiang… - Advances in …, 2023 - journals.sagepub.com
The increasing prevalence of simply supported bridges in high-speed railway (HSR) lines
has raised concerns about the safety of trains crossing these bridges during an earthquake …

Improvements to the probability density evolution method integrated with the change of probability measure on quantifying hybrid uncertainties

Z Wan, X Hong, W Tao - Structural Safety, 2023 - Elsevier
The probability density evolution method (PDEM) synthesizing the change of probability
measure (COM) provides a compatible framework for quantifying simultaneous aleatory and …

Stochastic modelling of in-structure concrete strength based on stochastic damage model and Burr distribution

J He, J Hong, R Gao, J Tao, H Yan - Structural Safety, 2024 - Elsevier
The probability measure of low-quality concrete is essential for the reliability analysis of
concrete structures. However, this problem is usually neglected, and the normal distribution …

Propagation of hybrid uncertainty by synthesizing B-spline chaos and augmented change of probability measure

Z Wan, W Tao, X Wang, Y Gao - Structural Safety, 2024 - Elsevier
Acquiring engineering data is frequently expensive, resulting in sparse data that may lead to
a lack of knowledge for design and analysis. Thus, it is not always feasible to precisely …

rLSTM-AE for dimension reduction and its application to active learning-based dynamic reliability analysis

Y Zhang, Y Dong, M Beer - Mechanical Systems and Signal Processing, 2024 - Elsevier
A novel method termed rLSTM-AE is developed for the low-dimensional latent space
identification of the stochastic dynamic systems with more than 1000 input random variables …

Reduced order online and offline data-driven modeling to investigate the nonlinear dynamics of laminate structures under multiparametric uncertainties

K Chikhaoui, V Couillard, Y Guevel… - Finite Elements in Analysis …, 2024 - Elsevier
Manufacturing processes of composites involve a margin of parameter variability (eg,
geometric, mechanical, loading) which results in an inaccurate prediction of their dynamics …

Structural Reliability Analysis Using Generalized Distribution Reconstruction Method with Novel Improvements

Z Wan, Y Gao, W Tao - ASCE-ASME Journal of Risk and Uncertainty …, 2024 - ascelibrary.org
The probability density function (PDF) of structural responses is one of the significant
fundamentals for structural reliability analysis. Nonetheless, it is still challenging to compute …

State Space Kriging model for emulating complex nonlinear dynamical systems under stochastic excitation

K Chenga, I Papaioannoua, MZ Lyub… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a new surrogate model for emulating the behavior of complex nonlinear
dynamical systems with external stochastic excitation. The model represents the system …

[HTML][HTML] An efficient uncertainty propagation method for nonlinear dynamics with distribution-free P-box processes

L Zhang, LI Chunna, SU Hua, XU Yuannan… - Chinese Journal of …, 2024 - Elsevier
The distribution-free P-box process serves as an effective quantification model for time-
varying uncertainties in dynamical systems when only imprecise probabilistic information is …

An Approach to Quantifying the Distribution of Resonance and Cancellation Train Speeds of Railway Bridges with Random Uncertainties

L Xin, M Pei, D Mu, D Wang, C Li… - ASCE-ASME Journal of …, 2024 - ascelibrary.org
Resonance and cancellation phenomena are fundamental scientific topics in the field of
train–bridge interactions. Prior studies have explained their underlying mechanisms and …