The Analysis of the Distribution of the Failure Statistical Data Hydrogen-Adjacent Pipelines

Article Preview

Abstract:

In reliability design and maintenance plan, determining statistical distribution type of interrelated structure is a very important job, and it is always determined through reliability test, which are time-consuming and needs a large number of tests. In this paper, a method determining statistical distribution function was proposed through the experimental data of the Creep Behavior. This method uses the test data; the results of Larson-Miller Method obtained from the data from experiments, and use the least-squares linear regression to get the parameter of common probability distribution function, such as Weibull Distribution, Lognormal Distribution and Normal Distribution. Statistical function of structural failure data was derived through discussion and comparison of results from various methods. The examples proved the validity and usability of this method.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

909-912

Citation:

Online since:

March 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Tu Shandong: High Temperature Structural Integrity Technology (Science Press, China 2003). In Chinese.

Google Scholar

[2] Jin Xin: Reliability data calculation and application (Defense Industry Press, China 2003). In Chinese.

Google Scholar

[3] Tan Yi, Wang Lai, Zhao Jie: Petrochemical Plant Life Prediction and Failure Analysis Case (Chemical Industry Press, China 2007). In Chinese.

Google Scholar

[4] C.Y. Luo, J.J. Xiong, R.A. Shenoi: Advanced materials research Vol. 44-46 (2008), pp.871-978.

Google Scholar

[5] H. Mao, Q. Li: Advanced material research Vol. 44-46 (2008), pp.553-556.

Google Scholar

[6] H. An, W.G. An, Y.L. Zhao, Z. J. Song: Advanced materials research Vol. 44-46 (2008), pp.879-884.

Google Scholar

[7] Yon-Xiang Zhao: Low Cycle Fatigue short crack behavior and reliability analysis (Southwest Jiaotong University Press, China 2006). In Chinese.

Google Scholar