0

Full Content is available to subscribers

Subscribe/Learn More  >

Sensitivity Analysis for XLPR Acceptance Testing

[+] Author Affiliations
Cédric J. Sallaberry, Robert E. Kurth, Frederick W. Brust, Elizabeth A. Kurth

Engineering Mechanics Corporation of Columbus, Columbus, OH

Paper No. PVP2017-65991, pp. V06BT06A060; 10 pages
doi:10.1115/PVP2017-65991
From:
  • ASME 2017 Pressure Vessels and Piping Conference
  • Volume 6B: Materials and Fabrication
  • Waikoloa, Hawaii, USA, July 16–20, 2017
  • Conference Sponsors: Pressure Vessels and Piping Division
  • ISBN: 978-0-7918-5800-4
  • Copyright © 2017 by ASME

abstract

The US Nuclear Regulatory Commission (US NRC) and the Electric Power Research Institute (EPRI) have jointly funded the development of the probabilistic analysis tool xLPR (extremely Low Probability of Rupture) version 2.0 for calculating the probability of a leak before break for welded pipes [1]. The acceptance testing for the program was completed in July of 2016. This allowed the release of the code to the development team. The released version of xLPR v 2.0 was used to run probabilistic simulations on selected scenarios and then perform uncertainty and sensitivity analysis on selected results. Uncertainty Analysis (UA) informs on how much the uncertainty affect the outputs while Sensitivity Analysis (SA) ranks the uncertain parameters in term of importance (i.e., influence over uncertainty) for selected outputs.

In this paper, we present the methodology used to perform Sensitivity Analysis using three regression techniques as well as scatterplots for graphical study. The results generated are consistent both with the experts’ expectations and our understanding of the equations used in the sub-models.

Copyright © 2017 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

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 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