Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Information Modeling for Thermal Fatigue Evaluation of Power Plant Pipelines

Authors
Te-Wei Fan, Chao-Jen Li, Ming-Sung Huang
Corresponding Author
Te-Wei Fan
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.1How to use a DOI?
Keywords
information modeling; thermal fatigue; piping
Abstract

Thermal fatigue and cracking of un-isolable pipelines caused by mixing of cold and hot water in pipelines have been reported. This is because the builder's system designs are all based on foreign technology, and assessments are needed to prevent similar thermal fatigue problems from occurring to power plant pipelines in Taiwan. There have been numerous pipeline valve leak examples in similar foreign power plants. Consequently, the Electric Power Research Institute (EPRI) has proposed special assessments for cold and hot water mixing in un-isolable pipelines. The technical report issued by EPRI focuses on the thermal fatigue safety assessment of un-isolable pipeline and T-shape pipelines in power plants. This assessment not only can determine the thermal fatigue status in pipelines and the appropriate detection cycle, but can also provide a corresponding pipeline safety assessment solution during application of power plant extension of service. Entry pipe geometric conditions, temperature, pressure, and flow rate were inputted to calculate whether pipeline temperature difference and temperature history that can cause thermal fatigue exists. Subsequently, fatigue factor calculation was conducted on pipeline that may have thermal fatigue. Power plant personnel's actual operating experiences were also surveyed in this study to supplement data that drawings cannot provide. Design parameters and actual operating parameters were compared as an assessment basis for future power plant operations. In response to the new building information modeling (BIM) technology, we applied its database characteristics to build a pipeline model for pipes within the focus scope. This can achieve visualization management function. Furthermore, the building of the pipeline model database can give users mastery over pipeline design and current status, and can avoid the need to search through large amount of drawing data. Linking the model with the calculation formula can give more comprehensive added value to the database. Digital network can be used to share model information with the possessors of different projects, thereby, promote synchronization of information sharing and information delivery.

Copyright
© 2017, 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 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.1How to use a DOI?
Copyright
© 2017, 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  - Te-Wei Fan
AU  - Chao-Jen Li
AU  - Ming-Sung Huang
PY  - 2017/05
DA  - 2017/05
TI  - Information Modeling for Thermal Fatigue Evaluation of Power Plant Pipelines
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.1
DO  - 10.2991/ammsa-17.2017.1
ID  - Fan2017/05
ER  -