基于改进BP神经网络和遗传算法的多风扇风洞风速廓面快速形成方法
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摘要
核事故发生时当地气象条件对气载放射性核素在大气中的扩散起着重要影响作用。本文采用10(行)×8(列)多风扇风洞来模拟核事故风场。基于改进BP神经网络算法对多风扇风洞风速廓面进行快速、精确的预测,结合遗传算法获得目标风速廓面所需的风扇阵列转速分布。结果表明,本文方法大幅提高了多风扇风洞对大气扩散模拟的实验效率,提供了变风速大气扩散模拟的条件。
When a nuclear accident occurs,the local weather conditions play an important role in the diffusion of airborne radionuclides in the atmosphere.In this paper,a10×8 multi-fan wind tunnel was used to simulate the wind field during the nuclear accident.Based on the improved BP neural network algorithm,the wind speed profile in the multi-fan wind tunnel was quickly and accurately predicted.The setting of fan speeds to create the wind speed profile was then obtained by applying the genetic algorithm.The results indicate that the proposed method can dramatically improve the efficiency of the diffusion experiments in a multi-fan wind tunnel and can provide the environment for the diffusion simulations under various wind speed conditions.
When a nuclear accident occurs,the local weather conditions play an important role in the diffusion of airborne radionuclides in the atmosphere.In this paper,a10×8 multi-fan wind tunnel was used to simulate the wind field during the nuclear accident.Based on the improved BP neural network algorithm,the wind speed profile in the multi-fan wind tunnel was quickly and accurately predicted.The setting of fan speeds to create the wind speed profile was then obtained by applying the genetic algorithm.The results indicate that the proposed method can dramatically improve the efficiency of the diffusion experiments in a multi-fan wind tunnel and can provide the environment for the diffusion simulations under various wind speed conditions.
引文
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[2] GUO Dongpeng,YAO Rentai,FAN Dan.Wind tunnel experiment for predicting a visible plume region from a nuclear power plant cooling tower[J].Journal of Applied Meteorology&Climatology,2014,53(2):234-241.
[3] NISHI A,KIKUGAWA H,MATSUDA Y,et al. Turbulence control in multiple-fan wind tunnels[J].Journal of Wind Engineering and Industrial Aerodynamics,1997,67:861-872.
[4] CAO Shuyang,NISHI A,KIKUGAWA H,et al.Reproduction of wind velocity history in a multiple fan wind tunnel[J].Journal of Wind Engineering and Industrial Aerodynamics,2002,90:1 719-1 729.
[5] WANG Jiaying,MENG Qinghao,LUO Bing,et al.Multiple-fan active control wind tunnel for outdoor near-surface airflow simulation[C]∥Control Conference(CCC),2015 34th Chinese.USA:IEEE,2015:5 959-5 964.
[6]范海民,马元巍,张继革,等.核事故大气扩散的多风扇风洞设计及实验验证[J].原子能科学技术,2018,52(1):168-174.FAN Haimin,MA Yuanwei,ZHANG Jige,et al.Design and experimental research of multi-fan wind tunnel for atmospheric diffusion in nuclear accident[J].Atomic Energy Science and Technology,2018,52(1):168-174(in Chinese).
[7] CHANG J,HANNA S.Air quality model performance evaluation[J]. Meteorology and Atmospheric Physics,2004,87:167-196.
[8] BRITTER R,SCHATZMANN M.Background and justification document to support the model evaluation guidance and protocol[J].International Journal of Environment&Pollution,2007,44(1-2):139-146.