Stochastic process corrosion growth models for pipeline reliability

Autor(es)

Vargas Bazan, Felipe Alexander ^[1] ; Beck, Andre Teofilo ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Struct Engn, BR-13566590 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Corrosion Science; v. 74, p. 50-58, SEP 2013.
• Citações Web of Science: 38

Resumo

Linear random variable corrosion models are extensively employed in reliability analysis of pipelines. However, linear models grossly neglect well-known characteristics of the corrosion process. Herein, a non-linear model is proposed, where corrosion rate is represented as a Poisson square wave process. The resulting model represents inherent time-variability of corrosion growth, produces continuous growth and leads to mean growth at less-than-one power of time. Different corrosion models are adjusted to the same set of actual corrosion data for two inspections. The proposed non-linear random process corrosion growth model leads to the best fit to the data, while better representing problem physics. (C) 2013 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 12/11587-0 - Gestão de risco estrutural em dutos enterrados: contribuição à prática nacional brasileira
• Beneficiário: Felipe Alexander Vargas Bazán
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado