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A framework for building behavioral models for design-stage failure identification using dimensional analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProceedings of the ASME Design Engineering Technical Conference
PublisherAMER SOC MECHANICAL ENGINEERS
Pages591-601
Number of pages11
Volume5
ISBN (Print)978-0-7918-4413-7
DOIs
Publication statusPublished - 2010
Externally publishedYes
Publication typeA4 Article in a conference publication
EventASME Internationl Design Engineering Technical Conferences / Computers and Information in Engineering Conference - Montreal, Canada
Duration: 15 Aug 201018 Aug 2010

Conference

ConferenceASME Internationl Design Engineering Technical Conferences / Computers and Information in Engineering Conference
CountryCanada
Period15/08/1018/08/10

Abstract

In this paper, a design-stage failure identification framework is proposed using a modeling and simulation approach based on Dimensional Analysis and qualitative physics. The proposed framework is intended to provide a new approach to model the behavior in the Functional-Failure Identification and Propagation (FFIP) framework, which estimates potential faults and their propagation paths under critical event scenarios. The initial FFIP framework is based on combining hierarchical system models of functionality and configuration, with behavioral simulation and qualitative reasoning. This paper proposes to develop a behavioral model derived from information available at the configuration level. Specifically, the new behavioral model uses design variables, which are associated with units and quantities (i.e., Mass, Length, Time, etc...). The proposed framework continues the work to allow the analysis of functional failures and fault propagation at a highly abstract system concept level before any potentially high-cost design commitments are made. The main contribution in this paper consists of developing component behavioral models based on the combination of fundamental design variables used to describe components and their units or quantities, more precisely describing components' behavior. Copyright © 2010 by ASME.