Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Failure Pressure Evaluation of Corroded Pipeline Using Semi-Empirical and Finite Element Analysis2citations
  • 2022Electric Arc Furnace Dust Recycled in 7075 Aluminum Alloy Composites Fabricated by Spark Plasma Sintering (SPS)4citations
  • 2021Microstructure and Mechanical Properties of AA7075 Aluminum Alloy Fabricated by Spark Plasma Sintering (SPS)27citations
  • 2016Study of the Efficiency of Ag-SiO<sub>2</sub> Nanoparticles as Additives in Anticorrosion Coatingscitations

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Chart of shared publication
Motta, Renato S.
1 / 1 shared
Willmersdorf, Ramiro B.
1 / 1 shared
Afonso, Silvana M. B.
1 / 1 shared
Von Schmalz Torres, Juliana
1 / 1 shared
Pimentel, Júlio T.
1 / 1 shared
Lyra, Paulo R. M.
1 / 1 shared
Estournès, Claude
2 / 141 shared
Alves, Elizeth
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Filho, Oscar Araújo
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Chevallier, Geoffroy
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Laurent, Christophe
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Khalile, Nouhaila
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Alves, Kleber
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Soares, Elder
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Araújo Filho, Oscar
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Co-Authors (by relevance)

  • Motta, Renato S.
  • Willmersdorf, Ramiro B.
  • Afonso, Silvana M. B.
  • Von Schmalz Torres, Juliana
  • Pimentel, Júlio T.
  • Lyra, Paulo R. M.
  • Estournès, Claude
  • Alves, Elizeth
  • Filho, Oscar Araújo
  • Chevallier, Geoffroy
  • Laurent, Christophe
  • Mesguich, David
  • Khalile, Nouhaila
  • Alves, Kleber
  • Soares, Elder
  • Araújo Filho, Oscar
OrganizationsLocationPeople

article

Failure Pressure Evaluation of Corroded Pipeline Using Semi-Empirical and Finite Element Analysis

  • Motta, Renato S.
  • Willmersdorf, Ramiro B.
  • Afonso, Silvana M. B.
  • Von Schmalz Torres, Juliana
  • Pimentel, Júlio T.
  • Bouchonneau, Nadège
  • Lyra, Paulo R. M.
Abstract

<jats:title>Abstract</jats:title><jats:p>Computational simulation using the finite element method (FEM) has proven to be one of the most efficient methods for the correct evaluation of the structural integrity of pipelines with corrosion-induced defects. In this paper, the results of the failure pressure of corroded pipelines obtained with a computer tool called PIPEFLAW based on nonlinear finite element analyses are presented and compared with the failure pressures of corroded pipes obtained with twelve (12) advanced semi-empirical models from the literature. A computational code was created in the Python language to automatically obtain the failure pressure of randomly generated cases of corroded pipes, which allows the analysis of multiple piping cases with isolated external corrosion defects in an idealized configuration. For this purpose, the LHS (Latin Hypercube Sampling) approach was adopted for the design of experiments to obtain a better distribution of cases in the sample space. Comparisons between the results using the FEM and semi-empirical models show, as expected, that the semi-empirical solutions are more conservative in most cases analyzed in this work. A statistical model is proposed that adheres to the relative error distribution for some of the models used. Moreover, the influence of some parameters (pipeline thickness, defect depth, defect length, defect width, yield stress and ultimate stress) on the failure pressure was evaluated. It was found that in most of the studied models the error increases as the defect depth increases.</jats:p>

Topics
  • impedance spectroscopy
  • corrosion
  • experiment
  • simulation
  • defect
  • finite element analysis