Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Bosco, Emanuela

  • Google
  • 10
  • 24
  • 239

Eindhoven University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024A novel approach for the lifetime prediction and structural health monitoring of concrete sewer systems exposed to biogenic sulphide corrosion3citations
  • 2024Chemo‑mechanical ageing of paper:effect of acidity, moisture and micro‑structural features3citations
  • 2023Assessment of chemo-mechanical degradation of concrete sewer pipes through an integrated experimental approach6citations
  • 2022Thermo-mechanical analysis of wood through an asymptotic homogenisation approach17citations
  • 2022Thermo-mechanical analysis of wood through an asymptotic homogenisation approach17citations
  • 2022Multifield nested metafilters for wave propagation control12citations
  • 2021In depths of paper degradationcitations
  • 2019Collapse response of two-dimensional cellular solids by plasticity and cracking13citations
  • 2019Ductility of 3D printed concrete reinforced with short straight steel fibers168citations
  • 2018Numerical modeling of biogenic sulphide corrosion in concrete sewer pipescitations

Places of action

Chart of shared publication
Clemens, François H. L. R.
2 / 2 shared
Suiker, Asj Akke
5 / 21 shared
Rooyackers, Frits A. M.
1 / 1 shared
Luimes, Rianne A.
2 / 2 shared
Suiker, Akke S. J.
1 / 5 shared
Parsa Sadr, Amir
1 / 1 shared
Maraghechi, Siavash
2 / 3 shared
Scheperboer, Irene C.
2 / 2 shared
Guzman, Carlos F.
2 / 2 shared
Vega, Carlos Rojas
1 / 1 shared
Flores, Eric I. Saavedra
1 / 1 shared
Pina, Juan Carlos
2 / 3 shared
Yanez, Sergio J.
2 / 2 shared
Rojas Vega, Carlos
1 / 1 shared
Saavedra Flores, Eric I.
1 / 1 shared
Fantoni, Francesca
1 / 4 shared
Bacigalupo, Andrea
1 / 15 shared
Hoefnagels, Jpm Johan
1 / 71 shared
Jorissen, A. J. M.
1 / 1 shared
Luimes, R. A.
1 / 1 shared
Salet, Tam Theo
1 / 3 shared
Bos, Freek P.
1 / 15 shared
Clemens, François
1 / 1 shared
Rooyackers, Fam
1 / 1 shared
Chart of publication period
2024
2023
2022
2021
2019
2018

Co-Authors (by relevance)

  • Clemens, François H. L. R.
  • Suiker, Asj Akke
  • Rooyackers, Frits A. M.
  • Luimes, Rianne A.
  • Suiker, Akke S. J.
  • Parsa Sadr, Amir
  • Maraghechi, Siavash
  • Scheperboer, Irene C.
  • Guzman, Carlos F.
  • Vega, Carlos Rojas
  • Flores, Eric I. Saavedra
  • Pina, Juan Carlos
  • Yanez, Sergio J.
  • Rojas Vega, Carlos
  • Saavedra Flores, Eric I.
  • Fantoni, Francesca
  • Bacigalupo, Andrea
  • Hoefnagels, Jpm Johan
  • Jorissen, A. J. M.
  • Luimes, R. A.
  • Salet, Tam Theo
  • Bos, Freek P.
  • Clemens, François
  • Rooyackers, Fam
OrganizationsLocationPeople

article

Thermo-mechanical analysis of wood through an asymptotic homogenisation approach

  • Guzman, Carlos F.
  • Vega, Carlos Rojas
  • Flores, Eric I. Saavedra
  • Pina, Juan Carlos
  • Bosco, Emanuela
  • Yanez, Sergio J.
Abstract

In the last decades the use of wood as a construction material has been steadily increasing. Among the main reasons behind this, are its renewable resource nature and its low environmental footprint. In this context, one of the main challenges faced by engineers during the design process is the knowledge and characterization of wood’s thermo-mechanical properties. This is related to the large morphological variations present at the microstructural level, that lead to a wide scatter of the macroscopic properties. To circumvent this issue, in this work a multiscale modelling strategy based on asymptotic homogenisation is proposed. The model is based on the hierarchical nature of wood and incorporates the three material scales generally identified in soft woods: (i) the microfibril scale, (ii) the wood cell scale, and (iii) the growth ring scale. The effective thermo-mechanical macroscopic properties are obtained by sequentially applying the homogenisation procedure from the microfibril scale all the way up to the macroscopic scale. The model is employed here to investigate the thermo-mechanical response of radiata pine grown in Chile. To determine values of the microstructural parameters that yield macroscopic properties consistent with those observed experimentally, a parameter identification strategy is proposed. The latter considers four elements: an existing experimental database on timber boards density and bending tests, the multiscale model, a timber board bending test finite element model and a genetic algorithm for the optimization procedure. With the resulting microstructural parameters the model is then used to estimate the effective elastic, thermal, and thermo-mechanical properties of radiata pine wood. When compared with measured experimental data and typical experimental values found in the literature, the numerical estimates demonstrate the model predicting capabilities.

Topics
  • density
  • impedance spectroscopy
  • bending flexural test
  • wood