Reliability Analysis of a Large Computational Model Using Polynomial Chaos Expansion

One important issue in uncertainty analysis is to find an effective way for propagating uncertainty through engineering systems which have significant random variation parameters in space or time. In this paper, the polynomial chaos expansion (PCE) was selected since this approach can reduce the computational effort in large-scale engineering design applications. An implementation of PCE, which includes different probability distributions, is the focus of this paper. Two existing techniques, a generalized PCE algorithm and transformation methods, are investigated and verified for their accuracy and efficiency for non-normal random variable cases. A nonlinear structural model of an uninhabitated joined-wing aircraft and a three pin-connected rod structure are used for demonstrating the method.

• Record URL:
  • https://doi.org/10.4271/2003-01-0465
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Choi, Seung-Kyum
  • Grandhi, Ramana V
  • Canfield, Robert A
• Conference:
  • SAE 2003 World Congress & Exhibition
  • Location: Detroit Michigan, United States
  • Date: 2003-3-3 to 2003-3-6
• Publication Date: 2001-10-28

Language

• English

Media Info

• Media Type: Web
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Aircraft; Logistics; Mathematical models; Reliability; Scale models; Simulation
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01802098
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2003-01-0465
• Files: TRIS, SAE
• Created Date: Dec 9 2021 10:24AM