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31.
This paper proposes an evolutionary accelerated computational level set algorithm for structure topology optimization. It integrates the merits of evolutionary structure optimization (ESO) and level set method (LSM). Traditional LSM algorithm is largely dependent on the initial guess topology. The proposed method combines the merits of ESO techniques with those of LSM algorithm, while allowing new holes to be automatically generated in low strain energy within the nodal neighboring region during optimization. The validity and robustness of the new algorithm are supported by some widely used benchmark examples in topology optimization. Numerical computations show that optimization convergence is accelerated effectively. 相似文献
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Due to the nature of distribution and self-organization, mobile ad hoc networks rely on cooperation between nodes to transfer information. One of the key factors to ensure high communication quality is an efficient assessment scheme for risks and trust of choosing next potential cooperative nodes. Trust model, an abstract psychological cognitive process, is one of the most complex concepts in social relationships, involving factors such as assumptions, expectations and behaviors. All of the above make it difficult to quantify and forecast trust accurately. In this paper, based on the theories of fuzzy recognition with feedback, SCGM(1, 1) model and Markov chain, we present a pattern of prediction making. The analysis and experimental computation show that this scheme is efficient in trust prediction for ad hoc networks. 相似文献
34.
This paper deals with the theoretical prediction of global buckling loads for carbon fiber composite pyramidal truss core sandwich columns. Different from thin plate structures, transverse shear effect can not be neglected for sandwich structures. In addition, the attributes of the laminated face sheets are considered in the present paper. A zig-zag displacement approximation is made. Based on the principle of minimum potential energy, equilibrium equations and boundary conditions are derived via the variational method. The critical buckling loads under various boundary conditions are presented. In order to validate the reasonableness of the equivalent-core method, the strain energies stored in the actual discrete truss members and the equivalent continuous homogenous core layer are calculated respectively and compared, and a good agreement is obtained. The proposed analytical method is verified by comparing with the published theoretical predictions and experimental results. 相似文献
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投资项目财务效果评价指标,按决策目的可分为绝对效果评价指标和相对效果评价指标两大类;按是否考虑资金时间价值可分为静态评价指标和动态评价指标两大类。本文将按后一种分类对项目评价中使用的各种指标的应用作以下的探讨。 相似文献
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38.
李加 《网络安全技术与应用》2006,(2):48-50
对于Solaris下综合教务系统的管理和维护,本文从系统的优化调整,备份、恢复策略,系统安全保护措施等三个方面进行了探讨。 相似文献
39.
Su Guanghui K. Morita K. Fukuda Mark Pidduck Jia Dounan Jaakko Miettinen 《Nuclear Engineering and Design》2003,220(1):17-35
Artificial neural networks (ANNs) for predicting critical heat flux (CHF) under low pressure and oscillation conditions have been trained successfully for either natural circulation or forced circulation (FC) in the present study. The input parameters of the ANN are pressure, mean mass flow rate, relative amplitude, inlet subcooling, oscillation period and the ratio of the heated length to the diameter of the tube, L/D. The output is a nondimensionalized factor F, which expresses the relative CHF under oscillation conditions. Based on the trained ANN, the influences of principal parameters on F for FC were analyzed. The parametric trends of the CHF under oscillation obtained by the trained ANN are as follows: the effects of pressure below 500 kPa are complex due to the influence of other parameters. F will increase with increasing mean mass flow rate under any conditions, and will decrease generally with an increase in relative amplitude. F will decrease initially and then increase with increasing inlet subcooling. The influence curves of mean mass flow rate on F will be almost the same when the period is shorter than 5.0 s or longer than 15 s. The influence of L/D will be negligible if L/D>200. It is found that the minimum number of neurons in the hidden layer is a product of the number of neurons in the input layer and in the output layer. 相似文献
40.
大量空间数据可视化的算法 总被引:1,自引:0,他引:1
在大量应用中,空间数据的采集和使用都是通过其空间位置进行的。在大小有限的屏幕上显示大量的空间数据常会因为邻结点的高度重叠而导致较差的视觉效果。该文提出一种可视化大量空间数据的新方法。其主要思想就是用未被使用的像素点巧妙地代替重叠的数据点。介绍了两种解决方法:(I)将重叠的数据点放置在最近的未被占用的像素点上;(2)将数据点沿着屏幕填充曲线移动。接着,发展了一个更为成熟的方法叫栅格划分算法。最后,提出了一种有待进一步研究的新方法;基于最近邻接方法的聚类方法,并指出了今后研究的方向。 相似文献