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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Fayezioghani, Amir

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Delft University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Verification, validation, and parameter study of a computational model for corrosion pit growth adopting the level-set method.5citations
  • 2022Verification, validation, and parameter study of a computational model for corrosion pit growth adopting the level-set method. Part II2citations

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Sluys, Bert
2 / 27 shared
Dekker, R.
2 / 10 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Sluys, Bert
  • Dekker, R.
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article

Verification, validation, and parameter study of a computational model for corrosion pit growth adopting the level-set method.

  • Fayezioghani, Amir
  • Sluys, Bert
  • Dekker, R.
Abstract

<p>Corrosion is a phenomenon observed in structural components in corrosive environments such as pipelines, bridges, aircrafts, turbines, etc. The computational model of corrosion should enjoy two features: a) accurately considering the electrochemistry of corrosion and b) properly dealing with the moving interface between solid and electrolyte. There are several approaches to model corrosion such as using FEM with mesh refinement algorithms, combining FEM and level-set method, employing finite volume methods, adopting peridynamic formulation, and utilizing phase field models. Because of its accuracy, lower computational cost, and robust dealing with multiple pit merging, the model which combines FEM with level-set method is selected to be more extensively assessed in this paper. Part I focuses on demonstrating the model's capabilities of simulating pitting corrosion through a set of numerical examples which include numerical solution verification, experimental validation, and uncertainty quantification of model parameters and properties.</p>

Topics
  • impedance spectroscopy
  • phase
  • pitting corrosion