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Measurement of the echo reduction for underwater acoustic passive materials by using the time reversal technique 被引量:8
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作者 YAN Xiaowei LI Jianlong HE Zhiguang 《Chinese Journal of Acoustics》 CSCD 2016年第3期309-320,共12页
A measuring method of the echo reduction of passive materials by using the time reversal(TR) technique is presented. To measure the echo reduction of a sample with this approach, the received signals are firstly foc... A measuring method of the echo reduction of passive materials by using the time reversal(TR) technique is presented. To measure the echo reduction of a sample with this approach, the received signals are firstly focused according to the TR theory. Then, the sample is removed and the TR processing is again employed to realize the focus of the received signal.Finally, the echo reduction of the sample is evaluated with these focusing signals. Besides, to calibrate the measured echo reduction via the TR technique, a standard sample is employed to measure a constant coefficient that only depends on the measurement environment. An aluminum plate sample and a steel plate sample with the same size of 1.1 mxl.O m x0.005 m axe tested in a wave guide tank. The experimental results show that the calibrated values are well consistent with theoretical results under the free field at the measured frequency range of0.5-20 kHz. The relative errors of all the measured values are less than 10% and the values of the expanded uncertainty are less than 1.5 dB. The TR processing focuses the energy in spatial domain and temporal domain, so it can be used to measure the echo reduction of passive materials in the environments with reflections induced by boundaries and low frequency sources. 展开更多
关键词 time Measurement of the echo reduction for underwater acoustic passive materials by using the time reversal technique TR
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正弦激励下三磁铁磁悬浮动力吸振器的被动减振性能研究
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作者 陈潇雨 冷永刚 +3 位作者 孙菲 苏徐昆 孙帅令 许俊杰 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2023年第5期160-172,共13页
本本文设计了一种新型的三磁铁磁悬浮动力吸振器(TMSDVA),并进行了建模和测试首先建立了TMSDVA悬臂梁减振系统的等效动力学模型.基于等效磁化电流理论,建立了非线性磁悬浮力的计算模型,并分析了非线性磁悬浮力的特征.然后用Runge-Kutta... 本本文设计了一种新型的三磁铁磁悬浮动力吸振器(TMSDVA),并进行了建模和测试首先建立了TMSDVA悬臂梁减振系统的等效动力学模型.基于等效磁化电流理论,建立了非线性磁悬浮力的计算模型,并分析了非线性磁悬浮力的特征.然后用Runge-Kutta方法求解系统在正弦激励下的动力学响应.通过对仿真结果的分析发现,适当调整TMSDVA的阻尼系数不仅可以降低TMSDVA的减振效果对激励幅值的敏感性,还可以整体提高TMSDVA的减振效果.最后通过实验验证了理论分析的正确性.综合来看,TMSDVA在工程结构的被动减振方面具有潜在应用价值. 展开更多
关键词 Triple-magnet magnetic suspension dynamic vibration absorber DAMPING Excitation amplitude passive vibration reduction Sinusoidal excitation
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Experimental investigation of typical surface treatment effect on velocity fluctuations in turbulent flow around an airfoil
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作者 Babak ELHAMI Mojtaba DEHGHAN MANSHADI Ali Akbar DEHGHAN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2023年第10期112-123,共12页
Noise reduction of different airfoils is important because these sections are used in wind turbines,propellers,and aircraft wings.Several methods are used for passive noise reduction of sections.One of these methods i... Noise reduction of different airfoils is important because these sections are used in wind turbines,propellers,and aircraft wings.Several methods are used for passive noise reduction of sections.One of these methods is the use of surface treatment.In this research,the effect of the typical surface treatment element(finlets)on the vortex structure at different frequencies in the turbulent flow created on the NACA2412 section is investigated.For this purpose,one-dimensional hot wire probe is used.The used surface treatment in this research has a special geometry and the distance between two consecutive finlets is 6 mm(S=6 mm).This study shows that this surface treatment element can be used for noise reduction in high frequencies.Another result of this research is the suggestion of the most suitable position to install this special surface treatment element to reduce vortex energy in all frequency ranges.This installation location is determined based on a dimensionless parameter(X_(aft)/h). 展开更多
关键词 Finlet spacing passive noise reduction Sound Pressure Level(SPL) Surface treatment(finlets) Velocity power spectral density
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