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抽吸气对高负荷跨声双级风扇裕度影响的数值研究 被引量:3
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作者 陆庆飞 《燃气涡轮试验与研究》 北大核心 2012年第2期18-20,42,共4页
采用计算流体力学与结构动力学相结合的方法,数值模拟了大负荷弯掠扭组合叶片非定常粘性流场;通过对叶片表面非定常气动力及其所做非定常气动功的计算分析,采用能量法对叶片颤振与否进行预估判断。在气动设计满足设计要求的基础上,... 采用计算流体力学与结构动力学相结合的方法,数值模拟了大负荷弯掠扭组合叶片非定常粘性流场;通过对叶片表面非定常气动力及其所做非定常气动功的计算分析,采用能量法对叶片颤振与否进行预估判断。在气动设计满足设计要求的基础上,小范围调整大负荷弯掠扭组合叶片的最大厚度分布和最大厚度相对位置分布,并分别进行颤振预估计算。结果表明,最大厚度分布和最大厚度相对位置分布对颤振影响明显。在最大厚度相对位置分布相同的情况下,均匀减薄叶片,会使一阶动频减小,积累功率增大,颤振发生的可能性增大。研究结果对叶轮机颤振机理研究具有一定的参考意义。 展开更多
关键词 大负荷弯掠扭组合叶片 最大厚度分布 最大厚度相对位置分布 颤振
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Estimation of Design Sea Ice Thickness with Maximum Entropy Distribution by Particle Swarm Optimization Method 被引量:1
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作者 TAO Shanshan DONG Sheng +1 位作者 WANG Zhifeng JIANG Wensheng 《Journal of Ocean University of China》 SCIE CAS 2016年第3期423-428,共6页
The maximum entropy distribution, which consists of various recognized theoretical distributions, is a better curve to estimate the design thickness of sea ice. Method of moment and empirical curve fitting method are ... The maximum entropy distribution, which consists of various recognized theoretical distributions, is a better curve to estimate the design thickness of sea ice. Method of moment and empirical curve fitting method are common-used parameter estimation methods for maximum entropy distribution. In this study, we propose to use the particle swarm optimization method as a new parameter estimation method for the maximum entropy distribution, which has the advantage to avoid deviation introduced by simplifications made in other methods. We conducted a case study to fit the hindcasted thickness of the sea ice in the Liaodong Bay of Bohai Sea using these three parameter-estimation methods for the maximum entropy distribution. All methods implemented in this study pass the K-S tests at 0.05 significant level. In terms of the average sum of deviation squares, the empirical curve fitting method provides the best fit for the original data, while the method of moment provides the worst. Among all three methods, the particle swarm optimization method predicts the largest thickness of the sea ice for a same return period. As a result, we recommend using the particle swarm optimization method for the maximum entropy distribution for offshore structures mainly influenced by the sea ice in winter, but using the empirical curve fitting method to reduce the cost in the design of temporary and economic buildings. 展开更多
关键词 sea ice thickness maximum entropy distribution particle swarm optimization return period offshore structural de-sign
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The influence of target material and thickness on proton energy and angular distribution 被引量:1
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作者 SU LuNing LIU BiCheng +14 位作者 LIN XiaoXuan LIU Feng DU Fei LIU XiaoLong ZHENG Yi GE XuLei LI YuTong SHENG ZhengMing CHEN LiMing WANG WeiMin MA JingLong LU Xin WEI ZhiYi CHEN JiaEr ZHANG Jie 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2013年第2期457-461,共5页
The paper has studied the influence of target material and thickness on energy and angular distributions of the protons generated by using an 800 rim, 60 fs, 0.24 J laser pulse to irradiate solid target foils. The res... The paper has studied the influence of target material and thickness on energy and angular distributions of the protons generated by using an 800 rim, 60 fs, 0.24 J laser pulse to irradiate solid target foils. The results show that the initial density and thickness of the targets will affect the formation of the acceleration sheath fields in the target normal direction. For the same target thickness, using lower density target materials can obtain a higher proton maximum energy. However, lower density targets tend to be deformed due to the shock waves launched by the laser pulses, making the proton spatial distribution more divergent. 展开更多
关键词 LASER-DRIVEN PROTON ACCELERATION
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