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Model Modules to Assist Assessing and Controlling SCC

File Language:
English


Details

  • Alternative Title:
    Model Modules to Assist Assessing and Controlling Stress Corrosion Cracking (SCC)
  • Creators:
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  • Subject/TRT Terms:
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  • Geographical Coverage:
  • TRIS Online Accession Number:
    01648005
  • Edition:
    08/12/2004 - 07/12/2006
  • Contracting Officer:
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  • Abstract:
    This project developed and validated tools to assist in integrity assessment and management both forms of SCC. Because the understanding that underlies integrity management tools was most comprehensive for high-pH SCC, development targeted NN-pH SCC, with work on high pH SCC being more application oriented. To broaden the utility of the deliverables, this project targeted technology in the context of generic modules applicable to both forms of cracking, recognizing their key difference lies in the mechanisms of cracking and how that impacts their kinetics and pipeline susceptibility. For the high-pH scenario the work was focused on tools to facilitate evaluation of factors that drive day to day integrity-management decisions. In contrast, work for NN-pH situations targeted was at the level of understanding the mechanisms that underlie the evolution of hydrogen involved with this form of SCC. Some key conclusions include: a mechanism for NN-pH SCC was developed and modeled in a fundamental framework, and found to produce hydrogen in sufficient quantity to support crack nucleation and growth under typical pipeline service conditions; a spectrum of reversible environments exist that sandwich NN-pH SCC between corrosion at lower pH levels and high-pH SCC that bounds the high end, each of corrosion, high-pH SCC, and NN-pH SCC is possible either individually or in association with the same crack; conditions driving NN-pH SCC were found to be consistent with temperature conditions throughout the United States. A host of other conclusions and recommendations also were developed.
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  • Main Document Checksum:
    urn:sha256:b42c3fe3dbfc1e9586e9749b866b1bd71a3df6eeaec202715ad7fa9c3903f4ed
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  • File Type:
    Filetype[PDF - 1.56 MB ]
File Language:
English
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