Chenyu Wu

Jun 27, 2024 | mdpi.com | Chenyu Wu |Yufei Zhang

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Chenyu Wu SciProfiles Scilit Preprints.org Google Scholar and Yufei Zhang SciProfiles Scilit Preprints.org Google Scholar * School of Aerospace Engineering, Tsinghua University, Beijing 100084, China *Author to whom correspondence should be addressed.

Aug 24, 2023 | link.aps.org | Chenyu Wu |Yufei Zhang

Turbulence modeling within the Reynolds-averaged Navier-Stokes (RANS) equations' framework is essential in engineering due to its high efficiency. Field-inversion and machine-learning (FIML) techniques have attempted to improve RANS turbulence models' predictive capabilities for separated flows. However, FIML-generated models often lack interpretability, limiting physical understanding and manual improvements based on prior knowledge.