首页|基于自适应修正模型的飞行器外流场三维计算方法

基于自适应修正模型的飞行器外流场三维计算方法

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目前飞行器外流场仿真方法中存在流体可压缩性判断依赖经验知识以及目标外流场三维仿真缺乏封闭约束条件的问题.对此,提出一种基于自适应修正模型的三维外流场数值计算方法.根据飞行器外流场变异系数先验知识,采用加权平均N-S方程表示可压缩流体物理量分布,同时利用膨胀压缩修正和激波不定项修正两种策略自适应地修正k-ε湍流模型的可压缩性约束条件,并采用壁面函数对近壁区进行近似计算修正约束条件.以某型号无人机外流场分布三维建模仿真实验,结果表明:当飞行器速度达到1.5马赫时,可压缩修正模型出现边界约束条件临界值,所提自适应可压缩修正算法能有效判断气体可压缩性的变化并提升流体分布计算的准确性.
Adaptive Modification Turbulence Model for Flow Field of Aircraft Calculating in Three Dimensions
In view of the problems of fluid compressibility judgment relying on empirical knowledge and the lack of confinement constraints in the current three-dimensional simulation methods for vehicle outer flow field,an adaptive modification turbulence calculating model for the three dimensions vehicle outer flow field is proposed.The proposed algorithm adopts the density-weigh-ted average N-S equation to calculate the flow field distribution of the compressible fluid according to the a priori knowledge of the coefficient of variation of the vehicle outer flow field,and utilizes two strategies,namely,expansion-compression modification and surge indeterminate modification to modify the compressibility constraints of the k-ε turbulence model in an adaptive way,and uses the wall function to modify the constraints in the near-wall region in an approximate computation.Experimental results of three-dimensional modeling and visualization of the outer flow field distribution of a certain type of unmanned aerial vehicle(UAV)show that when the Mach value reaches 1.5,the compressibility modification algorithm produces effects obviously.The proposed adaptive compressibility modification model is able to effectively judge the change of gas compressibility and improve the accuracy of fluid distribution calculation.

Turbulence3D simulation of outer flow fieldDensity-weighted averaged numerical simulation methodCompressibility correction

彭革、徐兴贵、李忠武、任维贺、李康、郑国宪、邓红艳

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保山学院大数据学院 云南保山 678000

云南财经大学信息学院 昆明 650221

北京空间机电研究所 北京 100081

湍流 流场三维仿真 密度加权平均数值模拟 可压缩修正

国家自然科学基金地区科学基金云南省教育厅科研项目云南省科技厅科技项目云南省服务计算重点实验室开放基金

621610512023J0678202101BA070001-016YNSC23119

2024

10.11896/jsjkx.230900053

计算机科学
重庆西南信息有限公司（原科技部西南信息中心）

计算机科学

CSTPCD北大核心
影响因子：0.944
ISSN：1002-137X
年,卷(期)：2024.51(z1)
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