展向波纹杆件的气动阻力与气动噪声协同优化研究  

Collaborative Optimization of Aerodynamic Resistance and Aerodynamic Noise for SpanwiseWaviness Bars

作　　者：刘海涛 王文宇[1] 周新 李鹏高 肖乾 LIU Haitao;WANG Wenyu;ZHOU Xin;LI Penggao;XIAO Qian(School of Mechanotronics and Vehicle Engineering,East China Jiaotong University,Nanchang 330013,China;Suzhou Automotive Research Institue,Tsinghua University,Suzhou 215131,Jiangsu,China)

机构地区：[1]华东交通大学机电与车辆工程学院,南昌330013 [2]清华大学苏州汽车研究院,江苏苏州215131

出　　处：《噪声与振动控制》2025年第2期44-51,共8页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(12104153,51765017);江西省主要学科学术和技术带头人培养计划资助项目(20204BCJL23034);中国博士后基金资助项目(2021M701963)。

摘　　要：展向波纹杆件具有良好的减阻降噪效果,但尚缺乏杆件结构参数优化设计方法。基于多学科协同优化方法,以气动阻力与气动噪声为目标,对展向波纹杆件的波长和波纹幅度结构参数进行协同优化。基于Realizable k-ε模型与随机噪声的产生和辐射(Stochastic Noise Generation and Radiation,SNGR)模型,建立杆件流场与声场的数值仿真模型。结合拉丁超立方取样及样本点结构的数值仿真结果,构建克里金代理模型,并运用协同优化算法,进行双目标协同优化,寻求最优展向波纹结构参数,并通过仿真验证。研究结果表明:展向波纹杆件的气动噪声和气动阻力无法同时达到最优;双目标协同优化后模型的气动阻力系数1.743,较初模型下降1.59%,总声压级103.64 dB,较初模型下降4.66%,从而达到均衡的降噪减阻效果。The spanwise waviness bars are known to have good drag and noise reduction effects,but there is a lack of structural parameter optimization design methods.To address the problem,a multi-disciplinary collaborative optimization approach was employed to co-optimize the wavelength and corrugation amplitude structural parameters of the spanwise waviness bars with aerodynamic drag and aerodynamic noise as objectives.A numerical simulation model of the flow field and sound field of the bar was established using the Realizable k-εmodel and SNGR model.Combined with the numerical simulation results of Latin hypercube sampling and sample point structure,a Kriging surrogate model based on genetic algorithm was constructed to optimize the resistance value and aerodynamic noise value.Using co-optimization algorithm,dual-objective collaborative optimization was carried out.The optimal spreading corrugated structure parameters were found and verified by simulation.The research results indicate that the aerodynamic noise and drag of the spanwise waviness bar cannot be simultaneously optimized to the best values.After dual-objective collaborative optimization,the drag coefficient of the model decreases by 1.59%of the initial model of 1.743,while the total sound pressure level decreases by 4.66%of the initial model of 103.64 dB,which demonstrates a balance between noise reduction and drag reduction effects.

关 键 词：声学 展向波纹杆件 气动阻力 气动噪声 克里金代理模型 协同优化 

分 类 号：TU112.3[建筑科学—建筑理论] V211.3[航空宇航科学与技术—航空宇航推进理论与工程]