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 (5/5 displayed)

  • 2024A coupled virtual element-interface model for analysis of fracture propagation in polycrystalline composites3citations
  • 2022Fast Statistical Homogenization Procedure for estimation of eec- tive properties of Ceramic Matrix Composites (CMC) with random microstructurecitations
  • 2019Statistical homogenization of random porous media1citations
  • 2018Fast Statistical Homogenization Procedure (FSHP) for Particle Random Compositecitations
  • 2017Integrated Procedure for Homogenization of Particle Random Com- posites Using Virtual Element Methodcitations

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Addessi, Daniela
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Gatta, Cristina
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Trovalusci, Patrizia
4 / 10 shared
Bellis, Maria Laura De
2 / 7 shared
Sadowski, Tomasz
1 / 2 shared
Reccia, Emanuele
4 / 8 shared
Trovalusci, And Patrizia
1 / 1 shared
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Co-Authors (by relevance)

  • Addessi, Daniela
  • Gatta, Cristina
  • Trovalusci, Patrizia
  • Bellis, Maria Laura De
  • Sadowski, Tomasz
  • Reccia, Emanuele
  • Trovalusci, And Patrizia
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conferencepaper

Statistical homogenization of random porous media

  • Bellis, Maria Laura De
  • Pingaro, Marco
  • Trovalusci, Patrizia
  • Reccia, Emanuele
Abstract

In recent times, the scientific community paid great attention to the influence of inherent uncertainties on system behavior and recognize the importance of stochastic and statistical approaches to engineering problems [21]. In particular, statistical computational methods may be useful to the constitutive characterization of complex materials, such as composite materials characterized by non-periodic internal micro-structure. Random porous media exhibit a microstructure made of randomly distributed pores embedded into a continuous matrix. They can be modelled as a bi-material system in which circular soft inclusions (pores) with random distribution and variable diameters are dispersed in a stiffer matrix. A key aspect, recently investigated by many researchers, is the evaluation of appropriate mechanical properties to be adopted for the study of their behaviour. Differently from classical homogenization approaches, in the case of materials with random microstructure it is not possible to 'a-priori' define a Representative Volume Element (RVE), this being an unknown of the problem. Statistical homogenization procedures may be adopted for the definition of equivalent moduli able to take into account at the macroscale the material properties emerging from the internal microstructure with random distribution [26]. Here, a Fast Statistical Homogenization Procedure (FSHP) based on Virtual Element Method (VEM) approach for the numerical solution-previously developed by some of the authors [13] has been adopted for the definition of the Representative Volume Element (RVE) and of the related equivalent elastic moduli of random porous media with different volume fraction, defined as the ratio between mechanical properties of inclusions and matrix. In particular, FSHP with virtual Elements of degree 1 [2] for modelling the inclusions provides reliable results for materials with low contrast.

Topics
  • porous
  • impedance spectroscopy
  • microstructure
  • pore
  • inclusion
  • composite
  • random
  • homogenization