Analytical Metamodel-Based Global Sensitivity Analysis and Uncertainty Propagation for Robust Design 2004-01-0429
Metamodeling approach has been widely used due to the high computational cost of using high-fidelity simulations in engineering design. Interpretation of metamodels for the purpose of design, especially design under uncertainty, becomes important. The computational expenses associated with metamodels and the random errors introduced by sample-based methods require the development of analytical methods, such as those for global sensitivity analysis and uncertainty propagation to facilitate a robust design process. In this work, we develop generalized analytical formulations that can provide efficient as well as accurate global sensitivity analysis and uncertainty propagation for a variety of metamodels. The benefits of our proposed techniques are demonstrated through vehicle related robust design applications.
Citation: Jin, R., Chen, W., and Sudjianto, A., "Analytical Metamodel-Based Global Sensitivity Analysis and Uncertainty Propagation for Robust Design," SAE Technical Paper 2004-01-0429, 2004, https://doi.org/10.4271/2004-01-0429. Download Citation
Author(s):
Ruichen Jin, Wei Chen, Agus Sudjianto
Affiliated:
PTO Engineering & IT Solutions, Ford Motor Company, Integrated DEsign Automation Laboratory (IDEAL), Northwestern University, V-Engine Engineering Subsystem Engineering, Ford Motor Company
Pages: 10
Event:
SAE 2004 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Reliability and Robust Design in Automotive Engineering-SP-1844, SAE 2004 Transactions Journal of Materials and Manufacturing-V113-5
Related Topics:
Design processes
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