Structural reliability analysis by line sampling: A Bayesian active learning treatment
Line sampling has been demonstrated to be a promising simulation method for structural
reliability analysis, especially for assessing small failure probabilities. However, its practical …
reliability analysis, especially for assessing small failure probabilities. However, its practical …
A conditional extreme value distribution method for dynamic reliability analysis of stochastic structures
An efficient post-processing simulation method is proposed to estimate small failure
probabilities of stochastic dynamic structures involving the inherent randomness of structural …
probabilities of stochastic dynamic structures involving the inherent randomness of structural …
Dynamic reliability analysis of structures under nonstationary stochastic excitations using tail-modified extreme value distribution
In practical engineering, it is usually necessary to compute the small first-passage
probability of dynamic systems exposed to nonstationary stochastic excitations. However, it …
probability of dynamic systems exposed to nonstationary stochastic excitations. However, it …
Refined dimension-reduction integration method for uncertainty propagation in stochastic systems: estimation of statistical moments
In terms of precision, effectiveness and generality, the quantification and propagation of
uncertainty for stochastic systems remains a challenge, especially for the estimation of …
uncertainty for stochastic systems remains a challenge, especially for the estimation of …
Error propagation for quantile estimation via combining Polynomial Chaos expansions and metalog distributions
Introducing parametric uncertainties to models is a quintessential step of simulation-based
risk assessment and rare event simulations. A novel quantile estimation method is proposed …
risk assessment and rare event simulations. A novel quantile estimation method is proposed …
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 …
On fractional moment estimation from polynomial chaos expansion
Fractional statistical moments are utilized for various tasks of uncertainty quantification,
including the estimation of probability distributions. However, an estimation of fractional …
including the estimation of probability distributions. However, an estimation of fractional …
A time variant uncertainty propagation method for high-dimensional dynamic structural system via K–L expansion and Bayesian deep neural network
J Liu, C Jiang, H Liu, G Li - Philosophical Transactions of …, 2023 - royalsocietypublishing.org
In this paper, a time variant uncertainty propagation (TUP) method for dynamic structural
system with high-dimensional input variables is proposed. Firstly, an arbitrary stochastic …
system with high-dimensional input variables is proposed. Firstly, an arbitrary stochastic …
A bi-fidelity surrogate model for extreme loads on offshore structures
PTT Nguyen, L Manuel - Ocean Engineering, 2024 - Elsevier
Built infrastructure and energy generation systems in the ocean such as platforms,
aquaculture net cages, and wave energy converters (WECs) are designed to sustain …
aquaculture net cages, and wave energy converters (WECs) are designed to sustain …
Active learning-based optimization of structures under stochastic excitations with first-passage probability constraints
In various efforts to manage the risk of structural failures caused by stochastic excitations
such as wind and earthquake loads, the first-passage probability often needs to be …
such as wind and earthquake loads, the first-passage probability often needs to be …