Eigenmode optimization of a contraction channel based on stability analysis

Wang, Yinzhu and Martínez Cava, Alejandro and Zheng, Yao and Ferrer, Esteban (2018). Eigenmode optimization of a contraction channel based on stability analysis. In: "6th European Conference on Computational Mechanics (ECCM 6) 7th European Conference on Computational Fluid Dynamics (ECFD 7)", 11-15 jun 2018, Glasgow, UK. pp. 4299-4310.

Description

Title: Eigenmode optimization of a contraction channel based on stability analysis
Author/s:
  • Wang, Yinzhu
  • Martínez Cava, Alejandro
  • Zheng, Yao
  • Ferrer, Esteban
Item Type: Presentation at Congress or Conference (Article)
Event Title: 6th European Conference on Computational Mechanics (ECCM 6) 7th European Conference on Computational Fluid Dynamics (ECFD 7)
Event Dates: 11-15 jun 2018
Event Location: Glasgow, UK
Title of Book: Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) 7th European Conference on Computational Fluid Dynamics (ECFD 7)
Date: 2018
Subjects:
Freetext Keywords: Geometric Optimisation; Eigenvalue Problem; Contraction Channel; Linear Stability Analysis
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Matemática Aplicada a la Ingeniería Aeroespacial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This work studies flow control in a channel flow with a sudden geometry contraction. Optimization investigations have been carried out aiming at minimizing the amplification rate of the most unstable mode, to keep the symmetric flow topology in the contraction channel. In this framework, the DLR-TAU code is employed to obtain the compressible base flow solution, from which the critical Reynolds numbers for the bifurcations have been found. A first-discretize-then-linearize approach was used, taking advantage of the linear Jacobian matrix implementation present in the DLR-TAU code for stability analysis, from which the eigenmodes responsible for the bifurcations are obtained. A geometry parametrized representation, an FFD mesh deformation program and a dynamically updated RBF surrogate model are developed to drive the optimization investigation. In this investigation, geometry configurations with negative amplification rates have been obtained, making the eigenmodes stable. The potential of the method is illustrated by the increase of critical Reynolds number of bifurcation.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020675008SSeMIDUNIVERSIDAD POLITECNICA DE MADRIDStability and Sensitivity Methods for Industrial Design

More information

Item ID: 55608
DC Identifier: http://oa.upm.es/55608/
OAI Identifier: oai:oa.upm.es:55608
Official URL: http://eccm-ecfd2018.org/
Deposited by: Memoria Investigacion
Deposited on: 22 Jan 2020 10:38
Last Modified: 22 Jan 2020 10:38
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