TY - JOUR
T1 - Improved utility and application of probabilistic methods for reliable mechanical design.
AU - Goh, Yee-Mey
AU - McMahon, Christopher
AU - Booker, J
PY - 2009
Y1 - 2009
N2 - In a modern product development process such as in the automotive and aerospace sectors, extensive analytical and simulation approaches 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 last 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.
AB - In a modern product development process such as in the automotive and aerospace sectors, extensive analytical and simulation approaches 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 last 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.
UR - http://www.scopus.com/inward/record.url?scp=70349546195&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1243/1748006XJRR244
U2 - 10.1243/1748006XJRR244
DO - 10.1243/1748006XJRR244
M3 - Article
VL - 223
SP - 199
EP - 214
JO - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
JF - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
SN - 1748-006X
IS - 3
ER -