Uncertainty quantification for granular materials with a stochastic discrete element method
Significant uncertainty exists in granular materials, as demonstrated by experimental and
simulation studies. Quantifying this uncertainty by integrating refined discrete element …
simulation studies. Quantifying this uncertainty by integrating refined discrete element …
Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties
In this paper, a Gaussian process regression surrogate model with transfer learning (TL-
GPRSM) is introduced to reduce the computational cost of structural reliability analysis by …
GPRSM) is introduced to reduce the computational cost of structural reliability analysis by …
A meta-heuristic approach for reliability-based design optimization of shell-and-tube heat exchangers
This study introduces a new framework for optimizing Shell-and-Tube Heat Exchanger
(STHE) layouts using a reliability-based design optimization (RBDO) approach. The …
(STHE) layouts using a reliability-based design optimization (RBDO) approach. The …
[HTML][HTML] Optimized equivalent linearization for random vibration
Z Wang - Structural Safety, 2024 - Elsevier
A fundamental limitation of various Equivalent Linearization Methods (ELMs) in nonlinear
random vibration analysis is that they are approximate by their nature. A quantity of interest …
random vibration analysis is that they are approximate by their nature. A quantity of interest …
A novel maximum entropy method based on the B-spline theory and the low-discrepancy sequence for complex probability distribution reconstruction
W He, Y Wang, G Li, J Zhou - Reliability Engineering & System Safety, 2024 - Elsevier
The maximum entropy method (MEM) is a powerful tool for the recovery of unknown
probability density functions (PDF) and has growing popularity in the reliability analysis …
probability density functions (PDF) and has growing popularity in the reliability analysis …
Large-scale baseline model exploration from structural monitoring based on a novel information entropy-probability learning function
In this paper, an active learning framework for structural baseline model exploration is
proposed based on the Kriging method. The framework is built to solve the problem that …
proposed based on the Kriging method. The framework is built to solve the problem that …
[HTML][HTML] Efficient reliability analysis of stochastic dynamic first-passage problems by probability density evolution analysis with subset supported point selection
This study introduces a novel point selection procedure for the Probability Density Evolution
Method (PDEM) to estimate time-dependent reliability and failure probabilities in dynamic …
Method (PDEM) to estimate time-dependent reliability and failure probabilities in dynamic …
An active learning Kriging-based Bayesian framework for probabilistic structural model exploration
The Bayesian framework in structural health monitoring includes both modal identification
and model exploration. Probabilistic model exploration, also named as model updating, can …
and model exploration. Probabilistic model exploration, also named as model updating, can …
An adaptive hybrid deep learning-based reliability assessment framework for damping track system considering multi-random variables
F Cheng, H Liu - Mechanical Systems and Signal Processing, 2024 - Elsevier
Reliability assessment is essential in the design and management of rail transit system
(RTS), with a heightened focus on damping tracks that feature low-stiffness structures and …
(RTS), with a heightened focus on damping tracks that feature low-stiffness structures and …
Gaussian Process Regression Surrogate Model for Seismic Vulnerability Assessment of Highway Bridge Structure System
Abstract System fragility is required especially for the vulnerability assessment of existing
bridges that configure transportation network as a structural system. Here, it is essential to …
bridges that configure transportation network as a structural system. Here, it is essential to …