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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2021Fracture modelling of plain concrete using non-local fracture mechanics and a graph-based computational framework15citations
  • 2019Prediction of Fatigue Crack Growth Rate Based on Entropy Generation16citations
  • 2015The plastic yield and flow behavior in metallic glassescitations
  • 2015The plastic yield and flow behavior in metallic glasses7citations

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Chart of shared publication
Bargmann, Swantje
2 / 32 shared
Klusemann, Benjamin
2 / 110 shared
Adibi, Sara
1 / 2 shared
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2021
2019
2015

Co-Authors (by relevance)

  • Bargmann, Swantje
  • Klusemann, Benjamin
  • Adibi, Sara
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article

Prediction of Fatigue Crack Growth Rate Based on Entropy Generation

  • Thamburaja, Prakash
Abstract

<jats:p>This paper presents the assessment of fatigue crack growth rate for dual-phase steel under spectrum loading based on entropy generation. According to the second law of thermodynamics, fatigue crack growth is related to entropy gain because of its irreversibility. In this work, the temperature evolution and crack length were simultaneously measured during fatigue crack growth tests until failure to ensure the validity of the assessment. Results indicated a significant correlation between fatigue crack growth rate and entropy. This relationship is the basis in developing a model that can determine the characteristics of fatigue crack growth rates, particularly under spectrum loading. Predictive results showed that the proposed model can accurately predict the fatigue crack growth rate under spectrum loading in all cases. The root mean square error in all cases is 10−7 m/cycle. In conclusion, entropy generation can accurately predict the fatigue crack growth rate of dual-phase steels under spectrum loading.</jats:p>

Topics
  • impedance spectroscopy
  • phase
  • crack
  • steel
  • fatigue