Available for download
Product Number:
51318-11004-SG
Author:
L. Trichtchenko / D.H. Boteler
Publication Date:
2018
$20.00
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Product Number:
51323-19485-SG
Author:
Jon H. Brasher
Publication Date:
2023
$20.00
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Product Number:
51324-20738-SG
Author:
Thomas Hayden; Christian Akuchie; Joseph Mazzella
Publication Date:
2024
$40.00
Estimating inductive corrosion susceptibility to pipeline systems from high-voltage transmission equipment is a well-studied problem. The mathematics for computing induced current is well known, dating back to fundamental 19th-century electromagnetism research. Yet, estimating induced current using those calculus-based equations is rarely done due to computational and data requirements. As such, most high-voltage induction risk studies use a series of approximations. The need for improved susceptibility estimation has expanded in the last two years alone. Due to economic and environmental concerns, governments and private organizations have begun re-investing resources in national electrical transmission networks. Furthermore, improved load-balancing techniques, new construction, environmental concerns, and dynamic line rating regulation have instantiated a more volatile problem for risk assessment. Computational technology is catching up, and there are powerful three-dimensional deterministic techniques for estimating corrosion susceptibility. This paper presents one approach using geospatial datasets to construct a digital twin and calculus-based methods to assess corrosion susceptibility. In addition, feature data and decoupler information from a North American pipeline operator is used to model current mitigation and grounding.
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Product Number:
51321-16221-SG
Author:
Cal Chapman, P. E.
Publication Date:
2021
$20.00
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