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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1.080 Topics available

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693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2016Probabilistic Fracture Mechanics of Reactor Pressure Vessels with Populations of Flawscitations
  • 2014Grizzly Staus Reportcitations
  • 2013Radiation effects in nuclear materials49citations
  • 2009Amorphization of Ge nanocrystals embedded in amorphous silica under ion irradiation17citations

Places of action

Chart of shared publication
Spencer, Benjamin
2 / 2 shared
Bass, B. Richard
1 / 1 shared
Hoffman, William
2 / 2 shared
Klasky, Hilda
1 / 1 shared
Alfonsi, Andrea
1 / 1 shared
Dickson, Terry
1 / 1 shared
Williams, Paul
1 / 7 shared
Chakraborty, Pritam
1 / 1 shared
Bai, Xianming
1 / 1 shared
Biner, S. Bulent
1 / 1 shared
Zhang, Yongfeng
1 / 3 shared
Schwen, Daniel
1 / 2 shared
Djurabekova, Flyura Gatifovna
2 / 37 shared
Nordlund, Kai
2 / 54 shared
Ridgway, Mark C.
1 / 2 shared
Pakarinen, Olli
1 / 4 shared
Araujo, Leandro L.
1 / 1 shared
Chart of publication period
2016
2014
2013
2009

Co-Authors (by relevance)

  • Spencer, Benjamin
  • Bass, B. Richard
  • Hoffman, William
  • Klasky, Hilda
  • Alfonsi, Andrea
  • Dickson, Terry
  • Williams, Paul
  • Chakraborty, Pritam
  • Bai, Xianming
  • Biner, S. Bulent
  • Zhang, Yongfeng
  • Schwen, Daniel
  • Djurabekova, Flyura Gatifovna
  • Nordlund, Kai
  • Ridgway, Mark C.
  • Pakarinen, Olli
  • Araujo, Leandro L.
OrganizationsLocationPeople

report

Probabilistic Fracture Mechanics of Reactor Pressure Vessels with Populations of Flaws

  • Spencer, Benjamin
  • Backman, Marie
  • Bass, B. Richard
  • Hoffman, William
  • Klasky, Hilda
  • Alfonsi, Andrea
  • Dickson, Terry
  • Williams, Paul
Abstract

This report documents recent progress in developing a tool that uses the Grizzly and RAVEN codes to perform probabilistic fracture mechanics analyses of reactor pressure vessels in light water reactor nuclear power plants. The Grizzly code is being developed with the goal of creating a general tool that can be applied to study a variety of degradation mechanisms in nuclear power plant components. Because of the central role of the reactor pressure vessel (RPV) in a nuclear power plant, particular emphasis is being placed on developing capabilities to model fracture in embrittled RPVs to aid in the process surrounding decision making relating to life extension of existing plants. A typical RPV contains a large population of pre-existing flaws introduced during the manufacturing process. The use of probabilistic techniques is necessary to assess the likelihood of crack initiation at one or more of these flaws during a transient event. This report documents development and initial testing of a capability to perform probabilistic fracture mechanics of large populations of flaws in RPVs using reduced order models to compute fracture parameters. The work documented here builds on prior efforts to perform probabilistic analyses of a single flaw with uncertain parameters, as well as earlier work to develop deterministic capabilities to model the thermo-mechanical response of the RPV under transient events, and compute fracture mechanics parameters at locations of pre-defined flaws. The capabilities developed as part of this work provide a foundation for future work, which will develop a platform that provides the flexibility needed to consider scenarios that cannot be addressed with the tools used in current practice.

Topics
  • impedance spectroscopy
  • crack