High-Dimensional Uncertainty Quantification in a Hybrid Data + Model-Based Submodeling Method for Refined Response Estimation at Critical Locations-Reference-Cited by-同舟云学术

High-Dimensional Uncertainty Quantification in a Hybrid Data + Model-Based Submodeling Method for Refined Response Estimation at Critical Locations

Published:2021-09 Issue:3 Volume:7 Page:04021022
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Valeti Bhavana¹^ORCID,Pakzad Shamim N.²

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Lehigh Univ., Imbt Laboratory, 117 ATLSS Dr., Bethlehem, PA 18015 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil and Environmental Engineering, Lehigh Univ., Imbt Laboratory, 117 ATLSS Dr., Bethlehem, PA 18015.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001142

Reference94 articles.

1. ABAQUS. 2017. “ABAQUS analysis users’s manual.” Accessed November 27 2019. https://abaqus-docs.mit.edu/2017/English/SIMACAEANLRefMap/simaanl-c-submodeloverview.htm.

2. A spectral approach for fuzzy uncertainty propagation in finite element analysis

3. Multiple crack detection in 3D using a stable XFEM and global optimization

4. Aquino, R. J. 2009. Stochastic finite element modeling and its applications in heat conduction and elastostatics problems. Swansea, Wales: Swansea Univ.

5. Beisheim J. R. and G. B. Sinclair. 2002. “Three-dimensional submodeling of stress concentrations.” In Proc. 11th Int. ANSYS Conf. Canonsburg PA: Ansys.