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)

  • 2022Estimation of pipe failure frequencies in the absence of operational experience data: A pilot study1citations

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Lydell, Bengt
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Reihani, Seyed
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Heckmann, Klaus
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Duan, Xinjian
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Jevremovic, Tatjana
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Wang, Min
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2022

Co-Authors (by relevance)

  • Lydell, Bengt
  • Reihani, Seyed
  • Heckmann, Klaus
  • Duan, Xinjian
  • Jevremovic, Tatjana
  • Kee, Ernie
  • Mohaghegh, Zahra
  • Wang, Min
  • Beal, John
  • Sakurahara, Tatsuya
  • Cheng, Wen-Chi
OrganizationsLocationPeople

article

Estimation of pipe failure frequencies in the absence of operational experience data: A pilot study

  • Lydell, Bengt
  • Reihani, Seyed
  • Heckmann, Klaus
  • Duan, Xinjian
  • Jevremovic, Tatjana
  • Kee, Ernie
  • Mohaghegh, Zahra
  • Ahn, Dong-Hyun
  • Wang, Min
  • Beal, John
  • Sakurahara, Tatsuya
  • Cheng, Wen-Chi
Abstract

Probabilistic failure metrics such as leak frequency and rupture frequency are commonly used to characterize piping reliability. The methodologies for calculating the failure metrics rely on a complex set of input parameters. Operating experience data and experimental data play an important role in informing the different input parameters. The paper describes results and conclusions of a coordinated research project to benchmark three different reliability models using a four-step procedure: reference case definition of relevance to advanced reactor designs, input parameter calibration, validation of results, and application of different methodologies upon completion of the calibration and validation steps. The reference case is a weld consisting of nickel-base alloy 152/52 and located within a primary pressure boundary of an advanced reactor. This alloy is a class of structural materials known to be highly resistant to stress corrosion cracking. Synergies between the different methods are noted and the importance of a multi-disciplinary approach to input parameter development is underscored. A key conclusion is that the three methods are equally suitable for estimating failure frequencies. In any specific application, a selection of the most practical or effective computational tool can be considered. The comparison of alternative models confirms and helps to gain confidence in the computed failure frequency estimates. The study was part of a coordinated research project organized by the International Atomic Energy Agency.

Topics
  • impedance spectroscopy
  • nickel
  • stress corrosion