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超声微电机传动机理的研究 被引量:19
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作者 崔天宏 王立鼎 +1 位作者 吕琼莹 干东英 《机械工程学报》 EI CAS CSCD 北大核心 1995年第2期71-76,共6页
提出了一种研究超声微电机传动机理的新方法,把弹性动力学中的瑞利波理论加以延伸应用,揭示了超声传动的本质。在此基础上,建立起对超声微电机设计有指导作用的数学模型。比较了几何分析法和弹性动力学方法,明确了深入研究后者的理... 提出了一种研究超声微电机传动机理的新方法,把弹性动力学中的瑞利波理论加以延伸应用,揭示了超声传动的本质。在此基础上,建立起对超声微电机设计有指导作用的数学模型。比较了几何分析法和弹性动力学方法,明确了深入研究后者的理论和实践价值,为超声微电机的优化设计提供了理论依据。 展开更多
关键词 超声微电机 转矩 微电机 瑞利波理论 起声传动
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Effect of wave spectrum width on the probability density distribution of wind-wave heights
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作者 刘亚豪 侯一筠 +1 位作者 胡珀 刘泽 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2015年第5期1124-1131,共8页
The probability distribution of wave heights under the assumption of narrowband linear wave theory follows the Rayleigh distribution and the statistical relationships between some characteristic wave heights, derived ... The probability distribution of wave heights under the assumption of narrowband linear wave theory follows the Rayleigh distribution and the statistical relationships between some characteristic wave heights, derived from this distribution, are widely used for the treatment of realistic wind waves. However, the bandwidth of wave frequency influences the probability distribution of wave heights. In this paper, a wave-spectrum-width parameter B was introduced into the JONSWAP spectrum. This facilitated the construction of a wind-wave spectrum and the reconstruction of wind-wave time series for various growth stages, based on which the probability density distributions of the wind-wave heights were studied statistically. The distribution curves deviated slightly from the theoretical Rayleigh distribution with increasing B. The probability that a wave height exceeded a certain value was clearly smaller than the theoretical value for B≥0.3, and the difference between them increased with the threshold value. The relation between the Hs/σ ratio and B was investigated statistically, which revealed that the Hs/σ ratio deviated from 4.005 and declined with B. When B reached 0.698 1, the Hs/σ ratio was 3.825, which is about 95.5% of its original value. This indicates an overestimation in the a potential method for improving the accuracy of the Hs extremely large waves under severe sea states. prediction of Hs from Hs=4.005σ, and provides remote sensing retrieval algorithm, critical for 展开更多
关键词 wave-spectrum width probability distribution of wave heights significant wave height
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