The reliability based optimization （RBO） issue of composite laminates trader fundamental frequency constraint is studied. Considering the tmcertainties of material properties, the frequency constraint reliability of...The reliability based optimization （RBO） issue of composite laminates trader fundamental frequency constraint is studied. Considering the tmcertainties of material properties, the frequency constraint reliability of the structure is evaluated by the combination of response surface method （RSM） and finite element method. An optimization algorithm is developed based on the mechanism of laminate frequency characteristics, to optimize the laminate in terms of the ply amount and orientation angles. Numerical examples of composite laminates and cylindrical shell illustrate the advantages of the present optimization algorithm on the efficiency and applicability respects. The optimal solutions of RBO are obviously different from the deterministic optimization results, and the necessity of considering material property uncertainties in the composite structural frequency constraint optimization is revealed.展开更多
基于数据驱动的电容式电压互感器(Capacitor Voltage Transformer,CVT)误差状态预测技术面临着数据不平衡,小样本数据不足的困境。针对该问题,整合DBSCAN聚类算法和基于径向的过采样算法(Radial-Based Oversampling,RBO),并在此基础上...基于数据驱动的电容式电压互感器(Capacitor Voltage Transformer,CVT)误差状态预测技术面临着数据不平衡,小样本数据不足的困境。针对该问题,整合DBSCAN聚类算法和基于径向的过采样算法(Radial-Based Oversampling,RBO),并在此基础上提出了一种引入权重分布RBO的过采样算法(Weight Distribution and Radial-Based Oversampling,WD-RBO)。该算法首先使用DBSCAN对CVT超差样本聚类,过滤数据集中的噪声;其次,通过簇密度分布函数和质心势能,计算超差样本各个簇的采样权重,确定每个簇中合成新样本的数量;最后,使用改进的RBO过采样算法合成新超差样本。实验结果表明,与SMOTE和RBO等过采样算法相比,WD-RBO使得预测模型的准确率和AUC值分别提高到0.967和0.996,且运行时长满足应用要求。WD-RBO可以有效解决类间不平衡和类内不平衡,提高模型对CVT误差状态的预测性能。展开更多
A new method for estimating the degree of [SiO4]4-polymerization of coal gangue is presented. The method uses the relative bridging oxygen number (RBO) based on nuclear magnetic resonance (NMR) techniques. X-ray diffr...A new method for estimating the degree of [SiO4]4-polymerization of coal gangue is presented. The method uses the relative bridging oxygen number (RBO) based on nuclear magnetic resonance (NMR) techniques. X-ray diffraction (XRD) and 29Si NMR techniques have been used to study phase transitions and silicate polymerization of coal gangue calcined at different temperatures or co-calcined. It has been found that phase transition of clay minerals causes silicate polymerization to change with temperature. In this study, cementing activity and RBO were determined to be inversely related. Generally, activated coal gangue with lower RBO had better cementitious activity.展开更多
基金National Natural Science Foundation of China (51412060104HK0123)
文摘The reliability based optimization （RBO） issue of composite laminates trader fundamental frequency constraint is studied. Considering the tmcertainties of material properties, the frequency constraint reliability of the structure is evaluated by the combination of response surface method （RSM） and finite element method. An optimization algorithm is developed based on the mechanism of laminate frequency characteristics, to optimize the laminate in terms of the ply amount and orientation angles. Numerical examples of composite laminates and cylindrical shell illustrate the advantages of the present optimization algorithm on the efficiency and applicability respects. The optimal solutions of RBO are obviously different from the deterministic optimization results, and the necessity of considering material property uncertainties in the composite structural frequency constraint optimization is revealed.
文摘基于数据驱动的电容式电压互感器(Capacitor Voltage Transformer,CVT)误差状态预测技术面临着数据不平衡,小样本数据不足的困境。针对该问题,整合DBSCAN聚类算法和基于径向的过采样算法(Radial-Based Oversampling,RBO),并在此基础上提出了一种引入权重分布RBO的过采样算法(Weight Distribution and Radial-Based Oversampling,WD-RBO)。该算法首先使用DBSCAN对CVT超差样本聚类,过滤数据集中的噪声;其次,通过簇密度分布函数和质心势能,计算超差样本各个簇的采样权重,确定每个簇中合成新样本的数量;最后,使用改进的RBO过采样算法合成新超差样本。实验结果表明,与SMOTE和RBO等过采样算法相比,WD-RBO使得预测模型的准确率和AUC值分别提高到0.967和0.996,且运行时长满足应用要求。WD-RBO可以有效解决类间不平衡和类内不平衡,提高模型对CVT误差状态的预测性能。
基金Project supported by the National Natural Science Foundation of China (No. 50674062)the Key Projects in the National Science & Technology Pillar Program (No. 2006BAC21B03)the Beijing Science and Technology Plan Projects of China (No. D07040300690000)
文摘A new method for estimating the degree of [SiO4]4-polymerization of coal gangue is presented. The method uses the relative bridging oxygen number (RBO) based on nuclear magnetic resonance (NMR) techniques. X-ray diffraction (XRD) and 29Si NMR techniques have been used to study phase transitions and silicate polymerization of coal gangue calcined at different temperatures or co-calcined. It has been found that phase transition of clay minerals causes silicate polymerization to change with temperature. In this study, cementing activity and RBO were determined to be inversely related. Generally, activated coal gangue with lower RBO had better cementitious activity.
