The negative binomial distribution as a model for external corrosion defect counts in buried pipelines

Alma Valor, Lester Alfonso, Francisco Caleyo, Julio Vidal, Eloy Perez-Baruch, José M. Hallen

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

16 Citas (Scopus)

Resumen

The spatial distribution of external corrosion defects in buried pipelines is usually described as a Poisson process, which leads to corrosion defects being randomly distributed along the pipeline. However, in real operating conditions, the spatial distribution of defects considerably departs from Poisson statistics due to the aggregation of defects in groups or clusters. In this work, the statistical analysis of real corrosion data from underground pipelines operating in southern Mexico leads to conclude that the negative binomial distribution provides a better description for defect counts. The origin of this distribution from several processes is discussed. The analysed processes are: mixed Gamma-Poisson, compound Poisson and Roger's processes. The physical reasons behind them are discussed for the specific case of soil corrosion.

Idioma originalInglés
Páginas (desde-hasta)114-131
Número de páginas18
PublicaciónCorrosion Science
Volumen101
DOI
EstadoPublicada - dic. 2015
Publicado de forma externa

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