本文關(guān)鍵詞：圍蔽的城市街道對交通噪聲的影響及噪聲傳播規(guī)律分析　出處：《安徽建筑大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 圍蔽街道 遺傳算法 射線追蹤法 噪聲傳播規(guī)律

【摘要】：在圍蔽的城市街道中,交通噪聲對建筑用戶的影響是室外聲環(huán)境研究的重點。運用有限測點準(zhǔn)確描述圍蔽街道噪聲分布、建立預(yù)測圍蔽街道噪聲分布模型、發(fā)現(xiàn)交通噪聲在圍蔽街道的傳播規(guī)律等都是通過合理規(guī)劃成熟土地使用,降低噪聲污染需要解決的聲學(xué)問題。針對圍蔽街道測點優(yōu)化布置問題,實現(xiàn)了噪聲測點布置的優(yōu)化模型。該模型基于遺傳算法,從大量噪聲測點中搜索出測點數(shù)目最少并與原測點偏離較少的優(yōu)化測點。對一特定圍蔽街道運用該模型搜索最優(yōu)測點布置方式,結(jié)果顯示出該模型可減少噪聲測點數(shù)目。將優(yōu)化后測點數(shù)據(jù)與初始眾多測點數(shù)據(jù)比較,優(yōu)化后測點噪聲聲壓級相比原始測點數(shù)據(jù)變動幅度滿足約束條件,證明了模型運算的正確性。針對圍蔽街道噪聲預(yù)測問題,提出了一種新的計算模型,用于預(yù)測邊界面為幾何反射時交通噪聲在圍蔽街道的傳播。該模型將交通噪聲源視作多個點聲源,每個點聲源代表在圍蔽街道道路上行駛的車輛。車型不同,由不同點聲源發(fā)出噪聲聲壓級也不相同�；谏渚�追蹤法,該模型分別追蹤每個點聲源直接到達(dá)或經(jīng)反射后到達(dá)某一測點的聲傳播途徑。將來自不同點聲源到達(dá)某測點的聲波疊加后可得出該測點的聲壓級,再分別計算每一個測點的聲壓級。與已有模型不同,該模型未將交通噪聲源視作線聲源,并引入跟適合長空間聲預(yù)測的射線追蹤法,增加了模型計算得復(fù)雜程度,但模型計算結(jié)果更符合圍蔽街道聲場。針對交通在圍蔽街道傳播規(guī)律,給出了影響圍蔽街道噪聲傳播的因素,包括交通噪聲源、街道幾何形狀和建筑布局,并分析出了噪聲在圍蔽街道長度方向和高度方向的傳播規(guī)律。通過改變單一影響因素,模擬獲得了影響因素改變噪聲在長度方向和高度方向傳播數(shù)據(jù)。從常見擬合曲線中選取三次曲線對模擬數(shù)據(jù)進(jìn)行擬合。比較了影響因素改變后擬合曲線,分析出了各個影響因素對噪聲傳播的量化影響。
[Abstract]:In the enclosed city streets, the influence of traffic noise on the building users is the focus of outdoor acoustic environment research. The noise distribution of enclosed streets is accurately described by finite measurement points, and a model for predicting the noise distribution of enclosed streets is established. It is found that the propagation law of traffic noise in enclosed streets and so on are acoustic problems that need to be solved through rational planning of mature land use to reduce noise pollution. The optimization model of noise measurement point arrangement is realized, which is based on genetic algorithm. The optimal measurement points with the least number of measured points and less deviation from the original ones are found out from a large number of noise-measuring points. The model is used to search for the optimal layout of measuring points for a specific enclosed street. The results show that the model can reduce the number of noise measurement points. Comparing the optimized data with the original data, the change range of the noise sound pressure level after the optimization can meet the constraint conditions. The correctness of the model operation is proved, and a new calculation model is proposed to predict the noise of enclosed streets. It is used to predict the propagation of traffic noise in enclosed streets when the boundary surface is geometrically reflected. In this model, traffic noise sources are regarded as multiple point sound sources, and each point sound source represents the vehicle driving on the enclosed street road. The noise sound pressure level from the different point sound source is also different. Based on the ray tracing method. The model tracks the sound propagation path from each point source directly or through reflection to a certain measuring point. The sound pressure level of the measuring point can be obtained by superposing the sound waves from different sound sources to a certain measuring point. Different from the existing model, the traffic noise source is not regarded as the line sound source, and the ray tracing method which is suitable for long space acoustic prediction is introduced. The computational complexity of the model is increased, but the results of the model are more consistent with the sound field of the enclosed street. In view of the law of traffic propagation in the enclosed street, the factors affecting the propagation of the noise in the enclosed street, including the traffic noise source, are given. The geometric shape and architectural layout of the street are analyzed, and the propagation law of the noise in the direction of length and height of the enclosed street is analyzed. The data of noise propagation in the direction of length and height are obtained by simulation. The cubic curve is selected from the common fitting curve to fit the simulated data. The fitting curve after the change of influencing factors is compared. The quantitative effects of various factors on noise propagation are analyzed.
【學(xué)位授予單位】：安徽建筑大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U491.91

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 蔣忠進(jìn);邱小軍;;基于聲線跟蹤法的穩(wěn)態(tài)聲場空間分布計算[J];南京大學(xué)學(xué)報(自然科學(xué)版);2007年01期

2 王艷松;孫桂龍;;基于蟻群算法的配電網(wǎng)諧波量測點優(yōu)化配置[J];中國石油大學(xué)學(xué)報(自然科學(xué)版);2014年01期

，

本文編號：1375293