BATHKIMPAPERIMechE Part Opublished.pdf (754.58 kB)
Improved utility and application of probabilistic methods for reliable mechanical design
journal contribution
posted on 2011-02-11, 14:35 authored by Yee GohYee Goh, Chris McMahon, J.D. BookerIn a modern product development process such as in the automotive and aerospace
sectors, extensive analytical and simulation approaches often are used to assess the ability of a
design in fulfilling its requirements. Consideration of uncertainty in such situations is critical in
ensuring a reliable design is produced. Probabilistic methods facilitate an improved understanding
of design performance through characterization of uncertainty in the design parameters.
The probabilistic methods developed over the past several decades have a range of
capabilities and modes of application, for example, to predict reliability, for optimization, and
to perform sensitivity studies, but have yet to be taken up routinely by industry due to a number
of reasons. In this paper, issues that have typically inhibited their use or prevented a successful
outcome are addressed through a systematic framework for improved utility and successful
application of probabilistic designing for mechanical reliability.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
GOY, Y.M., McMAHON, C. and BOOKER, J.D., 2009. Improved utility and application of probabilistic methods for reliable mechanical design. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 223 (3), pp. 199-214.Publisher
Sage / Institution of Mechanical EngineersVersion
- VoR (Version of Record)
Publication date
2009ISSN
1748-006X;1748-0078Publisher version
Language
- en