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

Parracha, João Luís

  • Google
  • 1
  • 5
  • 0

National Laboratory for Civil Engineering

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2019It’s what’s inside that countscitations

Places of action

Chart of shared publication
Faria, Paulina
1 / 47 shared
Nunes, Lina
1 / 8 shared
Pereira, Manuel F.
1 / 2 shared
Machado, José S.
1 / 3 shared
Maurício, António
1 / 2 shared
Chart of publication period
2019

Co-Authors (by relevance)

  • Faria, Paulina
  • Nunes, Lina
  • Pereira, Manuel F.
  • Machado, José S.
  • Maurício, António
OrganizationsLocationPeople

document

It’s what’s inside that counts

  • Faria, Paulina
  • Nunes, Lina
  • Pereira, Manuel F.
  • Machado, José S.
  • Parracha, João Luís
  • Maurício, António
Abstract

The safety assessment of old timber structures is an important issue due to the long-term behavior of wood and the structural complexity found in some older constructions. If the structure is de-graded due to the action of wood-boring insects, the complexity of the analysis increases.<br/>The objective of the work reported in this paper is to provide an assessment method to measure the residual strength of pine structural elements degraded by anobiids. Samples of degraded tim-ber were submitted to micro-computed tomography (μ-XCT) to quantify density loss being this parameter of fundamental importance for the assessment of timber structures as it is highly corre-lated with timber mechanical properties. During the μ-XCT study an empirical correlation be-tween lost material percentage (consumed by beetles) and timber apparent densities (original – before degradation and residual – after degradation) was established.<br/>The results showed an experimental high correlation (r2=0.66) between original apparent density and lost material percentage and an even higher correlation (r2=0.87) between residual apparent density and lost material percentage which confirms that μ-XCT can be validly used contributing to the 3D visualization and quantification of timber degraded elements.<br/>After the μ-XCT study, screw withdrawal and shear parallel to grain tests have been made in mar-itime pine degraded timber. Screw withdrawal force and shear strength values were related with density loss (r2=0.64 for screw withdrawal; r2=0.65 for shear strength parallel to grain). A novel assessment method for evaluating the impact of anobiid damage on timber degraded structural elements based in four major steps is proposed enabling a more quantitative assessment of the timber elements residual strength and, therefore, contributing to reduce unnecessary replacement and to provide foundations required to perform experimental modelling tests.

Topics
  • density
  • impedance spectroscopy
  • grain
  • tomography
  • strength
  • wood