• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Mechanics, Surfaces and Materials Processing (MSMP)
  • View Item
  • Home
  • Laboratoire Mechanics, Surfaces and Materials Processing (MSMP)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A generic statistical methodology to predict the maximum pit depth of a localized corrosion process

Article dans une revue avec comité de lecture
Author
JARRAH, Adil
211915 Mechanics surfaces and materials processing [MSMP]
BIGERELLE, Maxence
GUILLEMOT, Gildas
1252 Laboratoire de Mécanique de Lille - FRE 3723 [LML]
NAJJAR, Denis
1252 Laboratoire de Mécanique de Lille - FRE 3723 [LML]
IOST, Alain
1252 Laboratoire de Mécanique de Lille - FRE 3723 [LML]
NIANGA, Jean-Marie

URI
http://hdl.handle.net/10985/9626
DOI
10.1016/j.corsci.2011.03.026
Date
2011
Journal
Corrosion Science

Abstract

This paper outlines a new methodology to predict accurately the maximum pit depth related to a localized corrosion process. It combines two statistical methods: the Generalized Lambda Distribution (GLD), to determine a model of distribution fitting with the experimental frequency distribution of depths, and the Computer Based Bootstrap Method (CBBM), to generate simulated distributions equivalent to the experimental one. In comparison with conventionally established statistical methods that are restricted to the use of inferred distributions constrained by specific mathematical assumptions, the major advantage of the methodology presented in this paper is that both the GLD and the CBBM enable a statistical treatment of the experimental data without making any preconceived choice neither on the unknown theoretical parent underlying distribution of pit depth which characterizes the global corrosion phenomenon nor on the unknown associated theoretical extreme value distribution which characterizes the deepest pits. Considering an experimental distribution of depths of pits produced on an aluminium sample, estimations of maximum pit depth using a GLD model are compared to similar estimations based on usual Gumbel and Generalized Extreme Value (GEV) methods proposed in the corrosion engineering literature. The GLD approach is shown having smaller bias and dispersion in the estimation of the maximum pit depth than the Gumbel approach both for its realization and mean. This leads to comparing the GLD approach to the GEV one. The former is shown to be relevant and its advantages are discussed compared to previous methods.

Files in this item

Name:
MSMP_CS_IOST_2011.pdf
Size:
2.674Mb
Format:
PDF
View/Open

Collections

  • Laboratoire Mechanics, Surfaces and Materials Processing (MSMP)

Related items

Showing items related by title, author, creator and subject.

  • On the detection of corrosion pit interactions using two-dimensional spectral analysis 
    Article dans une revue avec comité de lecture
    JARRAH, Adil; NIANGA, Jean-Marie; IOST, Alain; GUILLEMOT, Gildas; NAJJAR, Denis (Elsevier, 2010)
    A statistical methodology for detecting pits interactions based on a two-dimensional spectral analysis is presented. This method can be used as a tool for the exploratory analysis of spatial point patterns and can be ...
  • Mesure de la Pertinence de la Physique Multi-échelle Génie Logiciel et Mesures Statistiques Projet CETIM 
    Communication avec acte
    IOST, Alain; ZAHOUANI, Hassan; ANSELME, Karine; NAJJAR, Denis; GUILLEMOT, Gildas; HAGEGE, Benjamin; JOURANI, Abdeljalil; REVEL, Phllippe; MAZERAN, Pierre-Emmanuel; BIGERELLE, Maxence; ccEL MANSORI, Mohamed; ccCOOREVITS, Thierry (Université de Poitiers, 2007)
    L'objet principal des études en morphologie des surfaces consiste à résumer l'information de manière optimale. Dans nos études, nous étudions plus particulièrement la signification physique, les méthodes numériques et les ...
  • Roughness signature of tribological contact calculated by a new method of peaks curvature radius estimation on fractal surfaces 
    Article dans une revue avec comité de lecture
    BIGERELLE, Maxence; NIANGA, Jean-Marie; NAJJAR, D.; IOST, Alain; HUBERT, C.; KUBIAK, K. J. (Elsevier, 2013)
    This paper proposes a new method of roughness peaks curvature radii calculation and its application to tribological contact analysis as characteristic signature of tribological contact. This method is introduced via the ...
  • Decomposition of a tribological system by chaos theory on rough surfaces 
    Article dans une revue avec comité de lecture
    BIGERELLE, Maxence; NIANGA, Jean-Marie; IOST, Alain (Elsevier, 2015)
    The purpose of this paper is to analyze the turning machinability of a martensitic steel, according to the cutting speed, and through signal analyses of the morphology of the machined surface. We initially carried out the ...
  • Modélisation du Procédé de Superfinition par Abrasion 
    Communication avec acte
    BIGERELLE, Maxence; GUILLEMOT, Gildas; HAGEGE, Benjamin; SABER, Oufae; IOST, Alain; ccEL MANSORI, Mohamed (Université de Poitiers, 2007)
    Le papier actuel présente une tentative de technologie pour modéliser rigoureusement une surface fonctionnelle (surface de cône de pignon intermédiaire) selon ses caractéristiques de finition. La surface virtuelle d'entrée ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales