Inverse reliability measures and reliability-based design optimisation

Palaniappan Ramu, Xueyong Qu, Byeng Dong Youn, Raphael T. Haftka and Kyung K. Choi

International Journal of Reliability and Safety, 2006, vol. 1, issue 1/2, 187-205

Abstract: Several inverse reliability measures (e.g. Probabilistic Performance Measure (PPM) and Probabilistic Sufficiency Factor (PSF)) that are essentially equivalent have been introduced in recent years as measures of safety. The different names for essentially the same measure reflect the fact that different researchers focused on different advantages of inverse measures. These advantages include improved computational efficiency of Reliability-Based Design Optimisation (RBDO), accuracy in Response Surface Approximations (RSAs) and easy estimates of resources needed for achieving target safety levels. This paper surveys these inverse measures and describes their advantages compared with the direct measures of safety such as probability of failure and reliability index. Methods to compute the inverse measures are also described. RBDO with inverse measure is demonstrated with a beam design example.

Keywords: inverse reliability measures; reliability based design optimisation; RBDO; Monte Carlo simulation; MCS; first-order reliability method; FORM; probabilistic sufficiency factor; PSF; probabilistic performance measures; PPM; safety measures; beam design. (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=10697 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijrsaf:v:1:y:2006:i:1/2:p:187-205

Access Statistics for this article

More articles in International Journal of Reliability and Safety from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().