Uncertainty quantification for incident helium flux in plasma-exposed tungsten

Ozgur Cekmer, Khachik Sargsyan, Sophie Blondel, Habib Najm, David E. Bernholdt, Brian D. Wirth

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this work, the surface response of a tungsten plasma-facing component was simulated by a cluster-dynamics code, Xolotl, with a focus on quantifying the impact of uncertainty in one of the input parameters to Xolotl, namely, the incident helium flux. The simulated conditions involve a tungsten surface exposed to 100 eV helium ion implantations with a flux of either 4 × 1022 or 4 × 1025 He m−2 s−1. Two sources were used to describe the implanted helium depth distribution in tungsten, either molecular dynamics (MD) or a binary collision approximation code, the stopping and range of ions in matter (SRIM). The aim of this work is to evaluate and examine uncertain predictions on the helium retention based on these two different modeling methodologies that either neglect electronic energy loss or the crystalline structure of the solid, respectively. An embedded model-form error approach was pursued here in order to arrive at predictions that account for variability due to the two different data sources, and the impact of this model-form uncertainty in incident helium flux on Xolotl output was presented for the two implantation fluxes.

Original languageEnglish
Pages (from-to)429-446
Number of pages18
JournalInternational Journal for Uncertainty Quantification
Volume8
Issue number5
DOIs
StatePublished - 2018

Funding

Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under Contract No. DE-NA-0003525. The authors thank Karl D. Hammond for providing MD helium range profiles in tungsten. This work was supported by the U.S. Department of Energy, Office of Fusion Energy Sciences and Office of Advanced Scientific Computing Research through the Scientific Discovery through Advanced Computing (SciDAC) project on Plasma-Surface Interactions. This work was performed in part at the Oak Ridge National Laboratory, which is managedby UT-Battelle, LLC under Contract No. DE-AC05-00OR22725.

Keywords

  • Bayesian inference
  • Model error
  • Nuclear fusion
  • Plasma-facing components
  • Uncertainty quantification

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