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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Materials Map under construction

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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Van Den Broek, Sander

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University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Tailoring structures using stochastic variations of structural parameterscitations
  • 2023Nonlinear Analysis of Wind Turbine Blades Using Finite Elements with Anisotropic Variable Kinematicscitations
  • 2022Efficient generation of geodesic random fields in finite elements with application to shell buckling1citations
  • 2021Robust improvement of the asymmetric post-buckling behavior of a composite panel by perturbing fiber pathscitations
  • 2018Effect of spatially varying material properties on the post-buckling behaviour of composite panels utilising geodesic stochastic fieldscitations

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Rebulla, Sergio A. Minera
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Co-Authors (by relevance)

  • Weaver, Pm
  • Patni, Mayank
  • Pirrera, Alberto
  • Hii, Aewis K. W.
  • Greaves, Peter
  • Jansen, Eelco
  • Rolfes, Raimund
  • Minera, Sergio
  • Rebulla, Sergio A. Minera
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article

Efficient generation of geodesic random fields in finite elements with application to shell buckling

  • Jansen, Eelco
  • Van Den Broek, Sander
  • Rolfes, Raimund
Abstract

Structures contain inherent deviations from idealized geometry and material properties. Quantifying the effects of such random variations is of interest when determining the reliability and robustness of a structure. Generating fields that follow complex shapes is not trivial. Generating random fields on simple shapes such as a cylinder can be done using series-expansion methods or analytically computed distances as input for a decomposition approach. Generating geodesic random fields on a mesh representing complex geometric shapes using these approaches is very complex or not possible. This paper presents a generalized approach to generating geodesic random fields representing variations in a finite element setting. Geodesic distances represent the shortest path between points within a volume or surface. Computing geodesic distances of structural points is achieved by solving the heat equation using normalized heat gradients originating from every node within the structure. Any element (bar, beam, shell, or solid) can be used as long as it can solve potential flow problems in the finite element program. Variations of the approach are discussed to generate fields with defined similarities or fields that show asymmetric behavior. A numerical example of a gyroid structure demonstrates the effect of using geodesic distances in field generation compared to Euclidean distances. An anisotropic cylinder with varying Young’s modulus and thickness is taken from literature to verify the implementation. Variations of the approach are analyzed using a composite cylinder in which fiber angles are varied. Although the focus of this paper is thin-walled structures, the approach works for all types of finite element structures and elements.

Topics
  • impedance spectroscopy
  • surface
  • anisotropic
  • composite
  • random
  • finite element analysis
  • decomposition
  • gyroid