Results 131 to 140 of about 303 (161)

Structural reliability analysis by a Bayesian sparse polynomial chaos expansion

open access: yesStructural Safety, 2021
Abstract Accurate computation of failure probability considering uncertain input parameters is very challenging within limited computational cost. An efficient surrogate model, referred to here as sparse variational Bayesian inference based polynomial chaos expansion (SVB-PCE), is formulated in this paper for reliability analysis. The sparsity in the
Biswarup Bhattacharyya
exaly   +3 more sources

Sparse polynomial chaos expansion based on D-MORPH regression

Applied Mathematics and Computation, 2018
Abstract Polynomial chaos expansion (PCE) is widely used by engineers and modelers in various engineering fields for uncertainty analysis. The computational cost of full PCE is unaffordable for the “curse of dimensionality” of the expansion coefficients.
Kai Cheng, Zhenzhou Lu
exaly   +2 more sources

Sequential Design of Experiment for Sparse Polynomial Chaos Expansions

SIAM/ASA Journal on Uncertainty Quantification, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Noura Fajraoui   +2 more
openaire   +2 more sources

A STATISTICAL APPROACH FOR BUILDING SPARSE POLYNOMIAL CHAOS EXPANSIONS

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), 2016
Over the last years, a lot of effort has been made to make existing uncertainty quantification techniques more efficient in high dimensions. An important class of methods relies on the assumption that the polynomial chaos representation of the model response is sparse.
Abraham, Simon Michel   +2 more
openaire   +2 more sources

Some greedy algorithms for sparse polynomial chaos expansions

Journal of Computational Physics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ricardo Baptista   +2 more
openaire   +1 more source

Active sparse polynomial chaos expansion for system reliability analysis

Reliability Engineering & System Safety, 2020
Abstract Surrogate model techniques have been widely used for structural systems with expensively evaluated simulations. However, their application to system reliability problems meets the challenge since approximating multiple implicit performance functions is required to estimate small failure probabilities.
Yicheng Zhou, Zhenzhou Lu, Wanying Yun
openaire   +1 more source

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