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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
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
期刊论文编号105428
期刊International Journal of Multiphase Flow
194
DOI
出版状态已出版 - 1 1月 2026
已对外发布

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