Proceedings of the 2016 International Conference on Mechanics, Materials and Structural Engineering

Fatigue life prediction and optimization of pipeline under random loads

Authors
Zhong-lei Du
Corresponding Author
Zhong-lei Du
Available Online March 2016.
DOI
10.2991/icmmse-16.2016.60How to use a DOI?
Keywords
Pipeline, Power spectrum density, Random vibration, Fatigue
Abstract

Estimation of the fatigue life of pipelines under the random load was carried out. The power spectrum density of the stress on the dangerous location was calculated by the finite element method. The frequency method was implemented into the vibration fatigue life prediction. The applicability of the four models of the direct frequency method was analysis, which compare with the indirect frequency method. The results show that power spectrum density of the stress has the characteristic of two peaks. The probability density function of the stress amplitude calculated by different model have great differences. The application of the Dirlik model and ZB model get the reasonable value of the fatigue life. The fatigue life of the pipeline was optimized by changing the value of the fillet.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Mechanics, Materials and Structural Engineering
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-187-2
ISSN
2352-5401
DOI
10.2991/icmmse-16.2016.60How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhong-lei Du
PY  - 2016/03
DA  - 2016/03
TI  - Fatigue life prediction and optimization of pipeline under random loads
BT  - Proceedings of the 2016 International Conference on Mechanics, Materials and Structural Engineering
PB  - Atlantis Press
SP  - 354
EP  - 360
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmse-16.2016.60
DO  - 10.2991/icmmse-16.2016.60
ID  - Du2016/03
ER  -