An enhanced validation and verification framework for ventilated cavitation: Decoupling and solving numerical and modeling errors via weighted nonlinear optimization

Yijing Hu, Qin Wu*, Housheng Zhang, Songtao Zhang, Biao Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background: This study addresses the challenges of quantifying error and uncertainties in unsteady ventilated cavitation flows during the axisymmetric body launches, where conventional Verification and Validation (V&V) methods struggle due to dependencies on asymptotic grid convergence assumptions. Method: Implicit Large Eddy Simulation (ILES) is integrated with the Piecewise linear interface calculation coupling Volume of Fluid (PLIC-VOF) to resolve gas-liquid interactions. An enhanced V&V framework is proposed. By decoupling numerical (δN) and modeling errors (δM) based on the H2-5 LES theory and introducing three supplementary error estimators (δN1[sbnd]N3, δM1-M3), the framework overcomes limitations of non-asymptotic data through the minimizing a weighted nonlinear objective function. Result: Experimental validation demonstrates that the enhanced V&V framework achieves the significant reduction of uncertainty within desired margins of ventilated cavitation simulations under transverse flow conditions. Compared to the conventional H2-5 method, the enhanced approach reduces validation uncertainty in the longitudinal velocity component from 10% to 2.7%, effectively suppressing spikes caused by the non-asymptotic data. The unsteady pressure coefficients (CP) at most times and locations satisfy the validation criterion (|E| < UV), with all experimental data falling within the uncertainty bounds of Grid 1 simulations. The study reveals that uncertainty in the trailing edge of the body primarily stem from synergistic effects of the unsteady foamy cavity shedding, vortex-cavitation interactions, and phase deviations, providing quantitative insights for further grid optimization and model refinement in high-precision cavitation flow simulations. This framework offers a methodological foundation for error and uncertainty management in strongly unsteady multiphase flow simulations.

Original languageEnglish
Article number105428
JournalInternational Journal of Multiphase Flow
Volume194
DOIs
Publication statusPublished - 1 Jan 2026
Externally publishedYes

Keywords

  • Axisymmetric body
  • Unsteady flow
  • Ventilated cavitation
  • Verification and validation

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