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21.
抑制制动器振动噪声的阻尼方法的探讨 总被引:1,自引:4,他引:1
针对在盘式制动器制动块底板上粘贴一层阻尼层(Insulating Shim)的阻尼处理方法,首先指出制动块底板上阻尼层的减振机制在于粘弹性材料在接触面间表现出的摩擦作用,尤其取决于材料本身的迟滞效应。然后.定量分析了阻尼层对制动器噪声的抑制效果;利用能量等效原理将接触摩擦转换成系统中粘性阻尼后进行特征分析.考察系统稳定性。 相似文献
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神经网络技术在车内噪声预测上的应用 总被引:2,自引:0,他引:2
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。 相似文献
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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。 相似文献
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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. 相似文献
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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. 相似文献