Initial Results Towards Development of a Verification, Validation and Uncertainty Quantification Framework for Multiphase Flow Simulations

[+] Author and Article Information
Aytekin Gel

National Energy Technology Laboratory (NETL), Morgantown, WV, USA, ALPEMI Consulting, L.L.C., Phoenix, AZ, USA

Avinash Vaidheeswaran

National Energy Technology Laboratory (NETL), Morgantown, WV, USA

Jordan Musser

National Energy Technology Laboratory (NETL), Morgantown, WV, USA

Charles Tong

Center for Applied Scientific Computing (CASC), Lawrence Livermore National Laboratory (LLNL), Livermore, CA, USA

1Corresponding author.

ASME doi:10.1115/1.4041745 History: Received October 03, 2017; Revised October 12, 2018


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 several best practices. In the current study, the proposed VVUQ framework is presented and its preliminary application is demonstrated for the simulation of granular discharge through a conical hopper, a commonly employed process in industry. As part of the proposed extensions for the V&V process, a detailed survey of subject matter experts including the CFD modelers and experimentalists was conducted. The results from the survey highlighted the need for a more quantitative assessment of the importance rank 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 reported in the current paper. The results show that particle-particle coefficients of restitution and friction are the most important parameters. The identification of these parameters is important to quantify their effect on the quantities of interest, and improve the confidence level in the numerical predictions.

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