Establishing the credibility of computational fluid dynamics (CFD) models for multiphase flow applications is increasingly becoming a mainstream requirement. However, the established verification and validation (V&V) Standards have been primarily demonstrated for single phase flow applications. Studies to address their applicability for multiphase flows have been limited. Hence, their application may not be trivial and require a thorough investigation. We propose to adopt the ASME V&V 20 Standard and explore its applicability for multiphase flows through several extensions by introducing some of the best practices. In the current study, the proposed verification, validation, and uncertainty quantification (VVUQ) framework is presented and its preliminary application is demonstrated using the simulation of granular discharge through a conical hopper commonly employed in several industrial processes. As part of the proposed extensions to the V&V methodology, a detailed survey of subject matter experts including CFD modelers and experimentalists was conducted. The results from the survey highlighted the need for a more quantitative assessment of importance ranking in addition to a sensitivity study before embarking on simulation and experimental campaigns. Hence, a screening study followed by a global sensitivity was performed to identify the most influential parameters for the CFD simulation as the first phase of the process, which is presented in this paper. The results show that particle–particle coefficients of restitution and friction are the most important parameters for the granular discharge flow problem chosen for demonstration of the process. The identification of these parameters is important to determine their effect on the quantities of interest and improve the confidence level in numerical predictions.
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September 2018
Research-Article
Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis
Aytekin Gel,
Aytekin Gel
National Energy Technology Laboratory (NETL),
Morgantown, WV 26507;
ALPEMI Consulting, L.L.C.,
Phoenix, AZ 85284
e-mail: aike@alpemi.com
Morgantown, WV 26507;
ALPEMI Consulting, L.L.C.,
Phoenix, AZ 85284
e-mail: aike@alpemi.com
Search for other works by this author on:
Avinash Vaidheeswaran,
Avinash Vaidheeswaran
National Energy Technology Laboratory (NETL),
Morgantown, WV 26507;
West Virginia University Research Corporation,
Morgantown, WV 26506
e-mail: avinash.vaidheeswaran@netl.doe.gov
Morgantown, WV 26507;
West Virginia University Research Corporation,
Morgantown, WV 26506
e-mail: avinash.vaidheeswaran@netl.doe.gov
Search for other works by this author on:
Charles H. Tong
Charles H. Tong
Center for Applied Scientific Computing (CASC),
Lawrence Livermore National Laboratory (LLNL),
Livermore, CA 94550
e-mail: tong10@llnl.gov
Lawrence Livermore National Laboratory (LLNL),
Livermore, CA 94550
e-mail: tong10@llnl.gov
Search for other works by this author on:
Aytekin Gel
National Energy Technology Laboratory (NETL),
Morgantown, WV 26507;
ALPEMI Consulting, L.L.C.,
Phoenix, AZ 85284
e-mail: aike@alpemi.com
Morgantown, WV 26507;
ALPEMI Consulting, L.L.C.,
Phoenix, AZ 85284
e-mail: aike@alpemi.com
Avinash Vaidheeswaran
National Energy Technology Laboratory (NETL),
Morgantown, WV 26507;
West Virginia University Research Corporation,
Morgantown, WV 26506
e-mail: avinash.vaidheeswaran@netl.doe.gov
Morgantown, WV 26507;
West Virginia University Research Corporation,
Morgantown, WV 26506
e-mail: avinash.vaidheeswaran@netl.doe.gov
Jordan Musser
Charles H. Tong
Center for Applied Scientific Computing (CASC),
Lawrence Livermore National Laboratory (LLNL),
Livermore, CA 94550
e-mail: tong10@llnl.gov
Lawrence Livermore National Laboratory (LLNL),
Livermore, CA 94550
e-mail: tong10@llnl.gov
1Corresponding author.
Manuscript received October 3, 2017; final manuscript received October 12, 2018; published online November 22, 2018. Assoc. Editor: Ashley F. Emery. This material is declared a work of the U.S. Government and is not subject to copyright protection in the United States. Approved for public release; distribution is unlimited.
J. Verif. Valid. Uncert. Sep 2018, 3(3): 031001 (12 pages)
Published Online: November 22, 2018
Article history
Received:
October 3, 2017
Revised:
October 12, 2018
Citation
Gel, A., Vaidheeswaran, A., Musser, J., and Tong, C. H. (November 22, 2018). "Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis ." ASME. J. Verif. Valid. Uncert. September 2018; 3(3): 031001. https://doi.org/10.1115/1.4041745
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