Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Approximated computation of belief functions for robust design optimization

Vasile, Massimiliano and Minisci, Edmondo and Wijnands, Quirien (2012) Approximated computation of belief functions for robust design optimization. In: 14th AIAA Non-Deterministic Approaches Conference, 2012-04-23 - 2012-04-26, Honolulu, Hawaii.

[img] PDF
Vasile_M_Minisci_E_Pure_Approximated_computation_of_belief_functions_for_robust_design_optimization_Jul_2012.pdf - Draft Version

Download (2MB)

Abstract

This paper presents some ideas to reduce the computational cost of evidence-based robust design optimization. Evidence Theory crystallizes both the aleatory and epistemic uncertainties in the design parameters, providing two quantitative measures, Belief and Plausibility, of the credibility of the computed value of the design budgets. The paper proposes some techniques to compute an approximation of Belief and Plausibility at a cost that is a fraction of the one required for an accurate calculation of the two values. Some simple test cases will show how the proposed techniques scale with the dimension of the problem. Finally a simple example of spacecraft system design is presented.

Item type: Conference or Workshop Item (Paper)
ID code: 40481
Keywords: Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Mechanical Engineering, Aerospace Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Optimization
Subjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. Astronautics
Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Technology and Innovation Centre > Advanced Engineering and Manufacturing
Depositing user: Pure Administrator
Date Deposited: 19 Jul 2012 08:10
Last modified: 27 Mar 2015 15:40
URI: http://strathprints.strath.ac.uk/id/eprint/40481

Actions (login required)

View Item View Item