A tensor basis neural network-based turbulence model for transonic axial compressor flows

Aerospace Science and Technology, Journal Year: 2024, Volume and Issue: 149, P. 109155 - 109155

Published: April 23, 2024

Language: Английский

Interpreting tensor basis neural networks with symbolic transcendental Reynolds stress models for transonic axial compressor flows

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

Transonic axial compressor flows exhibit complex turbulence structures that pose significant challenges for traditional models. In recent years, neural network-based models have demonstrated promising results in simulating these intricate flows. However, often lack interpretability, a crucial aspect of understanding the underlying physical mechanisms. Symbolic regression, capable training highly interpretable models, offers potential solution to elucidate mechanisms underpinning this study, we employ evolutionary symbolic regression interpret tensor basis networks (TBNNs) and develop explicit transcendental Reynolds stress (ETRSM) transonic Our are trained on inputs outputs pre-trained TBNN. We introduce method independently predicts coefficients each basis, significantly reducing computational costs enhancing rationality prediction process. six models: three algebraic. Through rigorous fluid dynamics (CFD) simulations, demonstrate an exceptional ability TBNN, while algebraic show limited success. The ETRSM, characterized by high interpretability transferability, effectively interprets TBNN achieves comparable accuracy TBNN-based compressors. These underscore industry-level CFD problems highlight importance incorporating additional features such Furthermore, separates individual coefficients, costs.

Language: Английский

Optimizing Flow Control with Ensemble Kalman Method for Mitigating Flow-Induced Vibration

AIAA Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: April 11, 2025

The ensemble Kalman method is introduced for optimizing flow control strategies in order to mitigate the flow-induced vibration of structures. Different types such as passive control, open-loop active and closed-loop are tested, showing flexibility optimization. first tested vortex shedding flows around a circular cylinder by placement small cylinders downstream. Further, assessed suppress shock buffeting over NACA 0012 airfoil movement compliant aileron. Our results all test cases show that ensemble-based can effectively find optimal significantly reduce vibrations aerodynamic force, be useful alternative optimization, due its merits nonintrusiveness ease implementation.

Language: Английский