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Title: Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation

Abstract

The importance of uncertainty has been recognized in various modeling, simulation, and analysis applications, where inherent assumptions and simplifications affect the accuracy of model predictions for physical phenomena. As model predictions are now heavily relied upon for simulation-based system design, which includes new materials, vehicles, mechanical and civil structures, and even new drugs, wrong model predictions could potentially cause catastrophic consequences. Therefore, uncertainty and associated risks due to model errors should be quantified to support robust systems engineering.

Authors:
 [1];  [2]
  1. Woodruff School of Mechanical Engineering,Georgia Institute of Technology,Atlanta, GA 30332e-mail: yan.wang@me.gatech.edu
  2. Optimization and Uncertainty Quantification Department,Sandia National Laboratories,Albuquerque, NM 87185e-mail: lpswile@sandia.gov
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1399512
Report Number(s):
SAND-2017-7361J
Journal ID: ISSN 2332-9017; 655296
Grant/Contract Number:
AC04-94AL85000
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part B. Mechanical Engineering
Additional Journal Information:
Journal Volume: 4; Journal Issue: 1; Journal ID: ISSN 2332-9017
Publisher:
American Society of Mechanical Engineers
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Wang, Yan, and Swiler, Laura. Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation. United States: N. p., 2017. Web. doi:10.1115/1.4037447.
Wang, Yan, & Swiler, Laura. Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation. United States. doi:10.1115/1.4037447.
Wang, Yan, and Swiler, Laura. Thu . "Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation". United States. doi:10.1115/1.4037447.
@article{osti_1399512,
title = {Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation},
author = {Wang, Yan and Swiler, Laura},
abstractNote = {The importance of uncertainty has been recognized in various modeling, simulation, and analysis applications, where inherent assumptions and simplifications affect the accuracy of model predictions for physical phenomena. As model predictions are now heavily relied upon for simulation-based system design, which includes new materials, vehicles, mechanical and civil structures, and even new drugs, wrong model predictions could potentially cause catastrophic consequences. Therefore, uncertainty and associated risks due to model errors should be quantified to support robust systems engineering.},
doi = {10.1115/1.4037447},
journal = {ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part B. Mechanical Engineering},
number = 1,
volume = 4,
place = {United States},
year = {Thu Sep 07 00:00:00 EDT 2017},
month = {Thu Sep 07 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on September 7, 2018
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