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

Xin, Haohui

  • Google
  • 10
  • 13
  • 268

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2022Fracture simulation of welded RHS X-joints using GTN damage model8citations
  • 2022Fracture simulation of welded RHS X-joints using GTN damage model8citations
  • 2021Effects of residual stresses on fatigue crack propagation of an orthotropic steel bridge deck70citations
  • 2021Mechanical behaviour of welded high strength steel rectangular hollow section joints10citations
  • 2021Three-dimensional fatigue crack propagation simulation using extended finite element methods for steel grades S355 and S690 considering mean stress effects97citations
  • 2021Fracture parameters calibration and validation for the high strength steel based on the mesoscale failure index15citations
  • 2021Ductile fracture locus identification using mesoscale critical equivalent plastic strain18citations
  • 2019Computational homogenization simulation on steel reinforced resin used in the injected bolted connections15citations
  • 2019Fatigue crack propagation simulation of orthotropic bridge deck based on extended finite element method16citations
  • 2018Non-linear hybrid homogenization method for steel-reinforced resin11citations

Places of action

Chart of shared publication
Bamby, Hagar El
1 / 4 shared
Yan, Rui
1 / 6 shared
Veljkovic, Milan
9 / 32 shared
Mela, Kristo
2 / 17 shared
Veljkovic, M.
1 / 10 shared
El Bamby, H.
1 / 1 shared
Yan, R.
1 / 2 shared
Berg, Niels Van Den
1 / 1 shared
Kisoensingh, Prishilla
1 / 1 shared
Correia, José A. F. O.
3 / 4 shared
Berto, Filippo
2 / 69 shared
Nijgh, Martin
2 / 4 shared
Gupta, Ravi Shankar
1 / 2 shared
Chart of publication period
2022
2021
2019
2018

Co-Authors (by relevance)

  • Bamby, Hagar El
  • Yan, Rui
  • Veljkovic, Milan
  • Mela, Kristo
  • Veljkovic, M.
  • El Bamby, H.
  • Yan, R.
  • Berg, Niels Van Den
  • Kisoensingh, Prishilla
  • Correia, José A. F. O.
  • Berto, Filippo
  • Nijgh, Martin
  • Gupta, Ravi Shankar
OrganizationsLocationPeople

article

Fracture simulation of welded RHS X-joints using GTN damage model

  • Bamby, Hagar El
  • Yan, Rui
  • Xin, Haohui
  • Veljkovic, Milan
  • Mela, Kristo
Abstract

<p>A welded rectangular hollow section (RHS) X-joint exposed to tension loading has three typical fracture-related failure modes: Punching shear failure (PSF), Brace failure (BF), and Chord side wall failure (CSWF). Prediction of these failure modes by finite element (FE) simulations requires modelling of the material damage. An appropriate damage model accurately predicts the behaviour of the fracture zone and provides the necessary information to improve design rules for welded high-strength steel (HSS) RHS X-joints based on parametric studies using validated model. In this paper, the parameters of the Gurson-Tvergaard-Needleman (GTN) damage model are calibrated for the base material (BM) and the heat-affected zone (HAZ) of butt-welded cold-formed RHS connections, no fracture appeared in the weld. A computational homogenisation analysis is carried out using representative volume element (RVE) models to calibrate the pressure-dependent yield surface parameters of the GTN damage model, considering the different combinations of the accumulated initial hardening strain and the void volume fraction (VVF) due to a varying stress triaxiality. The critical and final VVFs are calibrated against tensile coupon tests. Finally, the GTN damage models calibrated for BM and HAZ are used in the fracture simulation of nine welded cold-formed RHS X-joints in monotonic tension. The FE model successfully predicts the experimental load-displacement relationships and fractured zone, indicating the calibrated GTN models could effectively be used in parametric study of welded cold-formed RHS X-joints. Finally, possible improvements to the used FE model are outlined for future studies.</p>

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • strength
  • void
  • high speed steel