A Robust Approach to Quantification of Margin and Uncertainty

[+] Author and Article Information
Daniel J. Segalman

Department of Mechanical Engineering Michigan State University East Lansing, MI 48824

Thomas Paez

Thomas Paez Consulting, 12605 Osito Ct NE Albuquerque, NM 87111

Lara Bauman

Livermore, CA

1Corresponding author.

ASME doi:10.1115/1.4036180 History: Received October 07, 2015; Revised February 26, 2017


A systematic approach to defining margin in a manner that incorporates statistical information and accommodates data uncertainty, but does not require assumptions about specific forms of the tails of distributions is developed. A margin that is insensitive to the character of the tails of the relevant distributions (Tail Insensitive Margin, TIM) is defined. This is complemented by the calculation of probability of failure were the load distribution augmented by a quantity equal to the TIM. This approach avoids some of the perplexing results common to traditional reliability theory where, on the basis of very small amounts of data, one is led to extraordinary claims of infinitesimal probability of failure. Additionally, this approach permits a more meaningful separation of statistical and engineering issues.

Sandia National Laboratories (SNL)
Your Session has timed out. Please sign back in to continue.






Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In