Application of continuous adjoint method to steady-state two-phase flow simulations

Guojun Hu, Tomasz Kozlowski

Research output: Contribution to journalArticle

Abstract

Verification, validation and uncertainty quantification (VVUQ) have become a common practice in thermal-hydraulics analysis. An important step in the uncertainty analysis is the sensitivity analysis of various uncertainty input parameters. The common approach for computing the sensitivities, e.g. variance-based and regression-based methods, requires solving the governing equation multiple times, which is expensive in terms of computational effort. An alternative approach for computing the sensitivities is the adjoint method. The cost of solving an adjoint equation is comparable to the cost of solving the governing equation. Once the adjoint solution is obtained, the sensitivities of various parameters can be obtained with little effort. However, successful adjoint sensitivity analysis of the two-phase flow is rare. In this work, an adjoint sensitivity analysis framework is developed for the two-phase two-fluid model based on a new upwind numerical solver. The adjoint sensitivity analysis framework is tested with a steady-state boiling pipe problem. Results show that the adjoint sensitivity analysis framework is working as expected. The sensitivities obtained with the adjoint method are verified by the sensitivities obtained with a forward method.

Original languageEnglish (US)
Pages (from-to)202-212
Number of pages11
JournalAnnals of Nuclear Energy
Volume117
DOIs
StatePublished - Jul 2018

Fingerprint

Flow simulation
Two phase flow
Sensitivity analysis
Uncertainty analysis
Boiling liquids
Costs
Pipe
Hydraulics
Fluids
Uncertainty

Keywords

  • Adjoint sensitivity analysis
  • Boiling pipe
  • Riemann solver
  • Two-phase flow

ASJC Scopus subject areas

  • Nuclear Energy and Engineering

Cite this

Application of continuous adjoint method to steady-state two-phase flow simulations. / Hu, Guojun; Kozlowski, Tomasz.

In: Annals of Nuclear Energy, Vol. 117, 07.2018, p. 202-212.

Research output: Contribution to journalArticle

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