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08129 Overall Mechanisms of High pH and Near-Neutral pH SCC, Models for Forecasting SCC Susceptible Locations, and Simple Algorithms for Predicting High pH SCC Crack Growth Rates

Picture for 08129 Overall Mechanisms of High pH and Near-Neutral pH SCC, Models for Forecasting SCC Susceptible
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Product Number: 51300-08129-SG
ISBN: 08129 2008 CP
Author: Fengmei Song
Publication Date: 2008
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The current practice of determining pipeline stress corrosion cracking (SCC) susceptible locations, for pipe segments where In-Line Inspection (ILI) tools or hydrotests are not applicable, is based on known characteristics of past SCC sites. These characteristics include the type, age, and conditions of the coating; the type of steel and weld; the surface treatment, age, manufacturer, corrosion status and past SCC experience of the pipe; the type of soil, wet/dry cycles, and ground water chemistry including pH, ionic species such as Na+, Ca2+ and Cl-, molecular species such as CO2 and O2, and bacteria types and number; the performance of cathodic protection (CP); the operating fluid temperature, pressure and loading conditions, etc. As the range of SCC conditions continues to expand with time due to new SCC incidents, the number of SCC characteristic variables will continue to grow.
The current practice of determining pipeline stress corrosion cracking (SCC) susceptible locations, for pipe segments where In-Line Inspection (ILI) tools or hydrotests are not applicable, is based on known characteristics of past SCC sites. These characteristics include the type, age, and conditions of the coating; the type of steel and weld; the surface treatment, age, manufacturer, corrosion status and past SCC experience of the pipe; the type of soil, wet/dry cycles, and ground water chemistry including pH, ionic species such as Na+, Ca2+ and Cl-, molecular species such as CO2 and O2, and bacteria types and number; the performance of cathodic protection (CP); the operating fluid temperature, pressure and loading conditions, etc. As the range of SCC conditions continues to expand with time due to new SCC incidents, the number of SCC characteristic variables will continue to grow.
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