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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Aalto University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023Modelling Charring and Burning of Spruce and Pine Woods During Pyrolysis, Smoldering and Flaming10citations
  • 2022Multi-Surfaced Elasto-Plastic Wood Material Model in Material Point Method4citations
  • 2022Experimental dataset for the macro-scale compression of Norway Spruce perpendicular to grain direction2citations
  • 2021Elastic Modulus, Thermal Expansion, and Pyrolysis Shrinkage of Norway Spruce Under High Temperature13citations
  • 2021Thermal characterization of electric cooktopscitations
  • 2019A Model for Pyrolysis and Oxidation of Two Common Structural Timberscitations
  • 2014CFD-FEA Simulation Framework for Composite Structures in Firecitations

Places of action

Chart of shared publication
Rinta-Paavola, Aleksi
3 / 3 shared
Sukhomlinov, Dmitry
1 / 9 shared
Adibaskoro, Tito
3 / 3 shared
Sołowski, Wojciech Tomasz
2 / 4 shared
Makowska, Michalina
1 / 2 shared
Fortino, Stefania
1 / 13 shared
Jhatial, Tarique
1 / 2 shared
Gutkin, Renaud
1 / 4 shared
Paajanen, Antti
1 / 7 shared
Matala, Anna
1 / 3 shared
Chart of publication period
2023
2022
2021
2019
2014

Co-Authors (by relevance)

  • Rinta-Paavola, Aleksi
  • Sukhomlinov, Dmitry
  • Adibaskoro, Tito
  • Sołowski, Wojciech Tomasz
  • Makowska, Michalina
  • Fortino, Stefania
  • Jhatial, Tarique
  • Gutkin, Renaud
  • Paajanen, Antti
  • Matala, Anna
OrganizationsLocationPeople

article

Multi-Surfaced Elasto-Plastic Wood Material Model in Material Point Method

  • Adibaskoro, Tito
  • Sołowski, Wojciech Tomasz
  • Hostikka, Simo
Abstract

Wood is a naturally occurring material widely used for construction. Due to its natural origin, wood properties vary and its behaviour is complex. This paper shows an implementation of a multi-surface elasto-plastic constitutive material model for wood into a custom explicit material point method code. The constitutive model chosen is one proposed by Schmidt & Kaliske with minor modifications to ensure better internal consistency. The model parameters are chosen based on literature data for spruce. The paper presents two Convected Particle Domain Interpolation Material Point Method simulations of experiments, both performed with the previously established model parameters. The first simulation replicates a compression test of a spruce specimen perpendicular to grain direction, carried out at the Department of Civil Engineering, Aalto University. The second simulation replicates an experiment from literature, in which a spruce specimen with knots is tensioned until failure. The numerical simulations successfully replicate the experimental outcomes qualitatively in terms of the deformation and load-displacement curves. Simulations of the three knotted specimens under tension, with introduced slight variation in wood grain direction, replicate different failure patterns with a similar failure load, resembling the behaviour of natural wooden structural elements. Additionally, one of the obtained failure patterns replicates that of the experiment well.

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • grain
  • experiment
  • simulation
  • compression test
  • plasticity
  • wood