Analytical uncertainty quantification approach based on adaptive generalized <scp>co‐Gaussian</scp> process model-Reference-Cited by-同舟云学术

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Analytical uncertainty quantification approach based on adaptive generalized co‐Gaussian process model

Published:2022-09-08 Issue:24 Volume:123 Page:6032-6051
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Numerical Meth Engineering

Author:

Wan Hua‐Ping¹^ORCID,Zhang Zi‐Nan¹,Luo Yaozhi¹,Ren Wei‐Xin²,Todd Michael D.³^ORCID

Affiliation:

1. College of Civil Engineering and Architecture Zhejiang University Hangzhou China

2. College of Civil and Transportation Engineering Shenzhen University Shenzhen China

3. Department of Structural Engineering University of California San Diego California USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.7102

Reference40 articles.

1. Non-probabilistic uncertainty quantification and response analysis of structures with a bounded field model

2. A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing

3. Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics

4. Spectral Methods for Uncertainty Quantification

5. Exploiting active subspaces to quantify uncertainty in the numerical simulation of the HyShot II scramjet

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2. A novel uncertainty propagation and probability assessment method for the frequency response function involving correlated uncertainties;Archive of Applied Mechanics;2024-04-26

3. Data-driven model reduction approach for active vibration control of cable-strut structures;Engineering Structures;2024-03

4. Recent advances in uncertainty quantification in structural response characterization and system identification;Probabilistic Engineering Mechanics;2023-10

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