Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory

doi:10.7652/xjtuxb201301008

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Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory

更新时间：2025-07-09

- Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory
- Vol. 47, Issue 1, Pages: 37-42(2013)
- 作者机构：
  
  西安交通大学能源与动力工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201301008
  CLC： TK14
- Online First：10 January 2013，
  
  Published：2013
- 稿件说明：
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Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory[J]. 2013, 47(1): 37-42.
DOI：

Extension to Turbulent Flow and Numerical Verification for Aerodynamic Optimization Design Method Based on Discrete Adjoint Theory[J]. 2013, 47(1): 37-42. DOI： 10.7652/xjtuxb201301008.

摘要

将离散伴随气动优化设计方法扩展到紊流环境

编程实现了相应的二维离散伴随场求解器; 通过组合参数化技术、网格生成技术、流场求解器、离散伴随场求解器及优化算法

建立了透平叶栅气动优化设计平台。基于该设计平台

在紊流环境下以叶栅进出口熵增为优化目标

对某二维跨声速叶栅型线进行了气动优化设计

通过施加质量流量约束来限制优化过程中叶栅通道内质量流率的波动幅度。优化结果表明:优化后熵增降低了17.7%

验证了所开发的紊流环境离散伴随场求解器的正确性和有效性。

Abstract

The aerodynamic optimization design method was extended to turbulent flow environment

and a discrete adjoint solver applicable to the turbulent flow environment was implemented. On the basis of the solver

an aerodynamic optimization design platform was established by coupling the parameterization technology

grid generation technology

an in-house flow solver

the discrete adjoint solver and optimization technology. A typical transonic two-dimensional cascade was optimized based on the platform with the entropy generation being taken as the optimization function. Moreover

a mass flow ratio constraint was added to the objective function by using the penalty function method to keep the mass flow ratio constant. The optimization results show that the entropy generation of the optimized cascade decreases by 17.7% compared with that of the baseline cascade

demonstrating the correctness and effectiveness of the discrete adjoint solver developed.

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references

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