车用消声器的研究和试验方法

介绍了目前国内外常用的各种消声器,讨论了它们的特点。论述了几种典型及新兴的研究理论和计算方法;最后系统地介绍了车用消声器试验的一般情况和试验内容。     

发动机排气有源消声技术研究进展及发展趋势

简要介绍了发动机排气噪声的特点及其有源消声治理方法;就发动机排气有源消声技术的关键环节及其最新研究情况作了详尽的归纳和总结。评述了目前研究中尚存的问题与不足,并预测了其研究发展趋势。     

GZ机油添加剂对发动机环保性能影响的试验研究

通过对各种汽油机、柴油机进行的有无GZ添加剂时的对比试验,证明了GZ机油添加剂能降低发动机的机械噪声,减少柴油机排气烟度和汽油机的怠速有害排放,改善发动机的环保性能。     

高速公路浓雾监测预警系统

为研究浓雾对高速公路运营的影响,通过建设高速公路环境气象监测站以获取与浓雾发生密切相关的气象要素和能见度实测值,并结合高速公路沿线历史浓雾个例研究形成浓雾的环流形势特征和局地监测站气象要素演变与能见度值变化规律和特征,由此建成了高速公路浓雾监测预警系统。系统通过多种通讯传输和显示手段,将自动监测站的实况和预报中心制作的浓雾预警、预报结论传送至公路运营指挥中心,供采取决策措施时应用。该系统目前已由无锡段扩展到常州至苏州段,在试验应用期,沪宁高速公路在试验路段未发生因浓雾而造成的重大交通事故。     

神经网络技术在车内噪声预测上的应用

本文根据神经网络理论，建立了单一工况下由发动机悬置点振动信号预测车内特定点低频噪声的神经网络模型，并针对驾驶员耳旁噪声进行了实验研究，结果表明：基于神经网络的单一工况车内噪声观测模型，可以频域内很好地预测出特定点的车内噪声。     

低噪声电站噪声测量问题

分析了现实采用的几种移动电站噪声测量方法，根据实际发展需要。针对噪声测量中存在的一些问题，提出了低噪声电站噪声测量方法的一些看法。     

改性沥青伸缩缝结合料与混合料低温性能研究

为改善改性沥青桥梁伸缩缝材料的低温性能,使其在寒冷地区中小跨径桥梁上获得成功应用,通过添加热塑性橡胶类改性剂和橡胶类改性剂,对美佳改性沥青结合料进行二次改性,并通过对改性前后结合料和混合料低温性能的试验对比分析,重点研究了伸缩缝用改性沥青结合料和混合料的低温性能,通过实桥伸缩缝验证了研究成果的可行性。结果表明:该研究成果可在-40°C以上地区的中小跨径桥梁伸缩缝中使用。     

潜艇均衡系统自流注水调节阀稳态噪声试验研究

本文模拟建立了潜艇均衡系统自流注水试验系统,对不同假海压力、不同系统流量、不同出口背压及串联2台调节阀时自流注水稳定过程振动噪声进行研究。结果表明:潜艇均衡注水振动噪声随着假海深度的增大而增大;空气噪声随流量调节阀开度的增大而增大,在流量调节阀开度为60°-70°之间,振动加速度及水动力噪声产生峰值;在出口背压为0-0.5 MPa之间时,振动噪声值均大于无背压状态,峰值为0.2 MPa;串联2台流量调节阀可大幅降低自流注水振动噪声。     

Optimization of terminal airspace operation with environmental considerations

The rapid growth in air traffic has resulted in increased emission and noise levels in terminal areas, which brings negative environmental impact to surrounding areas. This study aims to optimize terminal area operations by taking into account environmental constraints pertaining to emission and noise. A multi-objective terminal area resource allocation problem is formulated by employing the arrival fix allocation (AFA) problem, while minimizing aircraft holding time, emission, and noise. The NSGA-II algorithm is employed to find the optimal assignment of terminal fixes with given demand input and environmental considerations, by incorporating the continuous descent approach (CDA). A case study of the Shanghai terminal area yields the following results: (1) Compared with existing arrival fix locations and the first-come-first-serve (FCFS) strategy, the AFA reduces emissions by 19.6%, and the areas impacted by noise by 16.4%. AFA and CDA combined reduce the emissions by 28% and noise by 38.1%; (2) Flight delays caused by the imbalance of demand and supply can be reduced by 72% (AFA) and 81% (AFA and CDA) respectively, compared with the FCFS strategy. The study demonstrates the feasibility of the proposed optimization framework to reduce the environmental impact in terminal areas while improving the operational efficiency, as well as its potential to underpin sustainable air traffic management.     

Hierarchal assessment of noise pollution in urban areas – A case study

Noise pollution in urban areas has many harmful effects on the citizens. There are varieties of noise generation sources of which the traffic noise could be a major source. The point which is perhaps less noticed is that sound level is not the only parameter to indicate the extent and intensity of noise pollution. Situation of urban land uses, distribution of population centers and types of passages can deeply affect the concern on this environmental issue but not with a similar ratio. This article presents an overlaying technique to define noise prone areas using all different factors involved. A case study was carried out in the District 14 of Tehran Metropolitan City where there are busy streets and highways. For this purpose, the share of each criterion in noise pollution intensity was determined using Analytical Hierarchy Process (AHP). Afterwards, the map layers were overlaid based upon the relative importance of the criteria to get the final map on which the noise prone areas are specified. The developed method could be used as a tool for indirect estimation of noise pollution by which instead of direct measurement of the equivalent sound level, it would be possible to predict noise susceptible areas considering the most important influential factors.