Reliability Inverse Analysis Method of X80 Pipeline Parameter Design

Reliability inverse analysis method of X80 pipeline parameter design is proposed. Considering the condition of normal and non-normal distribution for design variables, the inverse problem calculation theory of stochastic reliability is analyzed. Based on the first order second moment reliability theory, geometric algorithm is introduced to solve inverse problem. Convergence rate of checking point is accelerated by step length choice, and the corresponding calculation program about reliability inverse problem is developed by Matlab. Taking X80 pipeline of west-east gas project as an example, the results of reliability inverse problem for pipeline parameters are given and analyzed. Also, the example results show that the method is credible and has high precision. Therefore, the method can be applied in the X80 pipeline parameter design.

• Record URL:
  • https://doi.org/10.1061/41202(423)83
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412022
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhang, Lisong
  • Yan, Xiangzhen
  • Yang, Xiujuan
• Conference:
  • International Conference on Pipelines and Trenchless Technology 2011
  • Location: Beijing , China
  • Date: 2011-10-26 to 2011-10-29
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 772-779
• Monograph Title: ICPTT 2011: Sustainable Solutions For Water, Sewer, Gas, And Oil Pipelines

Subject/Index Terms

• TRT Terms: Algorithms; Design; Pipelines; Reliability; Stochastic processes
• Identifier Terms: MATLAB (Computer program)
• Uncontrolled Terms: Inverse analysis
• Subject Areas: Design; Pipelines; I20: Design and Planning of Transport Infrastructure;

Filing Info

• Accession Number: 01457409
• Record Type: Publication
• ISBN: 9780784412022
• Files: TRIS, ASCE
• Created Date: Dec 18 2012 9:36AM