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 (1/1 displayed)

  • 2016Fatigue partial factors for bridgescitations

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Leonetti, Davide
1 / 15 shared
Maljaars, Johan
1 / 26 shared
Snijder, H. H.
1 / 17 shared
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2016

Co-Authors (by relevance)

  • Leonetti, Davide
  • Maljaars, Johan
  • Snijder, H. H.
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document

Fatigue partial factors for bridges

  • Leonetti, Davide
  • Maljaars, Johan
  • Snijder, H. H.
  • Hashemi, S. B.
Abstract

Fatigue – crack initiation and growth due to repetitive loading – is one of the main failure modes of steel bridges. To ensure the bridge safety during its lifetime, partial factors should be used on both load effects and material resistance to keep the probability of failure less than its target value, set by considering failure consequences. <br/>The current standards suggest two design methodologies. First, by using partial factors to prevent failure probability to reach its target value at the end of the life, which results in an expensive design. Second, using smaller partial factors and letting the failure probability get close to its target value but prevent failure by performing regular inspection and damage repair. While in the first method it is possible to use not large enough partial factors, in the second one, the lack of knowledge in (long) crack behavior, critical crack length and inspection interval are the main issues.<br/>The goal of this research is to solve these issues to assure fatigue safety in an economical way by making the best use of inspection techniques. Therefore, a sound physical and probabilistic approach will be followed considering the stochastic nature of involved parameters. Several possible inspection categories will be defined and for each one of them, an optimal partial factor will be set and required inspection interval and procedure will be regulated.<br/>

Topics
  • impedance spectroscopy
  • laser emission spectroscopy
  • crack
  • steel
  • fatigue