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

Blaurock, J.

  • Google
  • 1
  • 3
  • 0

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2018Residual strength prediction for multi-directional composites subjected to arbitrary fatigue loadscitations

Places of action

Chart of shared publication
Möller, Marc
1 / 1 shared
Ziegmann, Gerhard
1 / 12 shared
Esderts, Alfons
1 / 17 shared
Chart of publication period
2018

Co-Authors (by relevance)

  • Möller, Marc
  • Ziegmann, Gerhard
  • Esderts, Alfons
OrganizationsLocationPeople

document

Residual strength prediction for multi-directional composites subjected to arbitrary fatigue loads

  • Möller, Marc
  • Ziegmann, Gerhard
  • Blaurock, J.
  • Esderts, Alfons
Abstract

As it is important to know a structures capacity of carrying further loads after particular load or time periods, a in-depth investigation on the computation of residual strength of multi-directional laminates is presented in this paper. The computational model focuses on ply-wise structural analysis of continuous fibre reinforced plastics at the mesoscale level and thus it belongs to the group of mechanistic models. The aim of the paper is to determine the fatigue life and residual strength of multi-directional laminates with the exclusive use of uni-directional ply data. For this reason, detailed strength degradation at the ply level is considered and the application of suitable models for the lifetime and residual strength estimation after certain combined fatigue loads is examined. Results for laminates under pulsating and alternating stress ratios for the different models are discussed in terms of their benefits and limitations for a practicable application. It is finally shown, that the nonlinear models are a great improvement for residual strength calculation and agree very well with experimental data from well documented composite fatigue data base OptiDAT.

Topics
  • impedance spectroscopy
  • polymer
  • strength
  • fatigue
  • composite