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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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Publications (21/21 displayed)

  • 2024A hybrid probabilistic-deterministic framework for prediction of characteristic size of corrosion pits in low-carbon steel following long-term seawater exposure4citations
  • 2023Stress intensity factor calculation for short cracks initiating from a semi-ellipsoidal pitcitations
  • 2023Stress intensity factor calculation for short cracks initiating from a semi-ellipsoidal pitcitations
  • 2023Thermometric investigation of fatigue crack initiation from corrosion pits in structural steel used in offshore wind turbinescitations
  • 2023Quantitative analysis of the correlation between geometric parameters of pits and stress concentration factors for a plate subject to uniaxial tensile stress9citations
  • 2023Quantitative analysis of the correlation between geometric parameters of pits and stress concentration factors for a plate subject to uniaxial tensile stress9citations
  • 2023Investigation of the effect of pitting corrosion on the fatigue strength degradation of structural steel using a short crack model4citations
  • 2023Investigation of the effect of pitting corrosion on the fatigue strength degradation of structural steel using a short crack model4citations
  • 2023Smart S-N curve for fatigue lifetime predictions of offshore wind turbine support structures affected by corrosioncitations
  • 2023Smart S-N curve for fatigue lifetime predictions of offshore wind turbine support structures affected by corrosioncitations
  • 2023Evaluation of the corrosion pit growth rate in structural steel S355 by phase-field modellingcitations
  • 2023Evaluation of the corrosion pit growth rate in structural steel S355 by phase-field modellingcitations
  • 2023A numerical study on tensile stress concentration in semi-ellipsoidal corrosion pits2citations
  • 2022Numerical study on the effect of pitting corrosion on the fatigue strength degradation of offshore wind turbine substructures using a short crack modelcitations
  • 2022Numerical study on the effect of pitting corrosion on the fatigue strength degradation of offshore wind turbine substructures using a short crack modelcitations
  • 2022A numerical investigation on the pitting corrosion in offshore wind turbine substructurescitations
  • 2022A numerical investigation on the pitting corrosion in offshore wind turbine substructurescitations
  • 2022Fracture Toughness Determination on an SCB Specimen by Meshless Methods6citations
  • 2022Fracture Toughness Determination on an SCB Specimen by Meshless Methods6citations
  • 2022Fatigue strength degradation of structural steel in sea environment due to pitting corrosioncitations
  • 2022Pitting corrosion and its transition to crack in offshore wind turbine supporting structurescitations

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De Waele, Wim
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Tacq, Jeroen
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Elahi, Seyed Ahmad
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Chaudhuri, Somsubhro
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Vancoillie, Robin
2 / 2 shared
Hectors, Kris
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Saeed, Hasan
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Waele, Wim De
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De Coster, Robbe
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Chaudhuri, S.
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Larrosa, Nicolas O.
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Depover, Tom
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Belinha, Jorge
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Farahani, Behzad V.
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Co-Authors (by relevance)

  • De Waele, Wim
  • Tacq, Jeroen
  • Elahi, Seyed Ahmad
  • Chaudhuri, Somsubhro
  • Vancoillie, Robin
  • Hectors, Kris
  • Saeed, Hasan
  • Waele, Wim De
  • De Coster, Robbe
  • Chaudhuri, S.
  • Balbín, José Antonio
  • Larrosa, Nicolas O.
  • Wallaert, Elien
  • Depover, Tom
  • Belinha, Jorge
  • Farahani, Behzad V.
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document

Stress intensity factor calculation for short cracks initiating from a semi-ellipsoidal pit

  • Vancoillie, Robin
  • Hectors, Kris
  • Saeed, Hasan
  • Mehri Sofiani, Farid
  • Waele, Wim De
Abstract

Offshore wind turbine support structures are exposed to maritime conditions, which can lead to corrosion fatigue. This work is part of the FATCOR project funded by the Belgian Energy Transition Fund, aiming to develop a qualitative and quantitative understanding of the mechanisms of corrosion fatigue in seawater. Localized corrosion generates a geometrical defect, raising the local stresses and reducing the fatigue life. The transition from pit growth to short fatigue crack propagation occurs at a critical pit size, which depends upon the microstructure, the applied stress level and the geometry of the pit. In linear elastic fracture mechanics, the stress intensity factor is used to describe the magnitude of the stress singularity near a crack tip caused by remote stresses and is useful for establishing a failure criterion. Literature lacks stress intensity factor solutions for cracks emanating from a three-dimensional semi-ellipsoidal pit. Fig. 1 (a) shows a schematic representation of a plate subjected to axial tensile stress with a semi-ellipsoidal pit at the center of the top surface. Two cracks in the shape of a circular arc are introduced at the pit mouth perpendicular to the loading direction (see Fig. 1 (b)). Finite element analysis is used to calculate the stress intensity factor (K₁) at the crack tip (see Fig. 2). The displacement extrapolation method is used to quantify the effect of different pit configurations and crack lengths on K₁. This method determines K₁ from the displacement field near the crack tip. A parametric study is performed on a range of relative geometrical parameter values (a/2c, b/c) and crack lengths (r/a). It is observed that changes in the pit geometry can drastically affect the stress gradient in the vicinity of the pit, which directly influences the magnitude of K₁. For example, (a/2c) equal to 1, 0.5 and 0.25, resulting in K₁ values of 74.4, 71.1 and 56.6 MPa√mm respectively, for a remote stress of 100 MPa. In future work, regression analysis will be performed to develop an equation to calculate the K₁ for a wide range of pit configurations and crack lengths.

Topics
  • impedance spectroscopy
  • microstructure
  • surface
  • corrosion
  • crack
  • fatigue
  • finite element analysis