Forced oscillations of a vertical continuous rotor with geometric nonlinearity

Nonlinear forced oscillations of a vertical continuous rotor with distributed mass are discussed. The restoring force of the rotor has geometric stiffening nonlinearity due to the extension of the rotor center line. The possibility of the occurrence of nonlinear forced oscillations at various subcritical speeds and the shapes of resonance curves at the major critical speeds and at some subcritical speeds are investigated theoretically. Consequently, the following is clarified: (a) the shape of resonance curves at the major critical speed becomes a hard spring type, and (b) among various kinds of nonlinear forced oscillations, only some special kinds of combination resonances have possibility of occurrence.     

A composite Bayesian hierarchical model of compositional data with zeros

We present an effective approach for modelling compositional data with large concentrations of zeros and several levels of variation, applied to a database of elemental compositions of forensic glass of various use types. The procedure consists of the following: (i) partitioning the data set in subsets characterised by the same pattern of presence/absence of chemical elements and (ii) fitting a Bayesian hierarchical model to the transformed compositions in each data subset. We derive expressions for the posterior predictive probability that newly observed fragments of glass are of a certain use type and for computing the evidential value of glass fragments relating to two competing propositions about their source. The model is assessed using cross‐validation, and it performs well in both the classification and evidence evaluation tasks. Copyright © 2014 John Wiley & Sons, Ltd.     

Sparse Distance Weighted Discrimination

Distance weighted discrimination (DWD) was originally proposed to handle the data piling issue in the support vector machine. In this article, we consider the sparse penalized DWD for high-dimensional classification. The state-of-the-art algorithm for solving the standard DWD is based on second-order cone programming, however such an algorithm does not work well for the sparse penalized DWD with high-dimensional data. To overcome the challenging computation difficulty, we develop a very efficient algorithm to compute the solution path of the sparse DWD at a given fine grid of regularization parameters. We implement the algorithm in a publicly available R package sdwd. We conduct extensive numerical experiments to demonstrate the computational efficiency and classification performance of our method.     

排列组合中一类分组分配问题的统一球盒模型

本文研究了排列组合中一类分组分配问题,形式化成三个球盒模型,引入三个符号既表示这三种模型又表示模型对应的方案数.三模型可以统一快捷地解答平均分组和不定向分配等问题,为实际应用的分析理解和解答带来方便.     

基于对数组合的一类洛伦兹曲线模型

构造了一类基于对数函数的凹凸组合(凹函数和凸函数乘积形式)的洛伦兹曲线模型,并针对19个国家的收入分配数据进行数值实验.实验结果表明,该类模型具有较好的拟合效果.     

基于NFA-BP算法的企业经营状况评价模型

针对萤火虫算法(FA)易出现过早收敛,陷入局部最优的缺点,引入小生境技术,提出一种小生境萤火虫优化算法(NFA),通过测试后,利用其搜索BP神经网络的参数.最后建立基于小生境萤火虫优化BP算法的企业经营状况评价模型,并与传统的BP神经网络模型进行对比,仿真结果表明,基于NFA-BP算法的经营状况评价模型的正确识别率高于传统的BP模型,是一种有效的评价模型.     

基于修正Park-Ang模型的圆钢管构件地震损伤评估

为合理评估薄壁圆钢管构件的地震损伤程度,基于Park-Ang地震损伤模型,通过修正相关参数,建立了适用于圆钢管构件的地震损伤模型。利用圆钢管构件在低周反复荷载作用下的骨架曲线,给出了损伤模型中各待定参数的计算方法,在此基础上通过反演构件破坏点损伤因子为1.0时的模型组合系数,并利用曲线拟合法得到模型组合系数与构件轴压比、长细比和径厚比等参数间的关系式,从而建立构件的地震损伤评估模型。结果表明,修正的Park-Ang损伤模型可较好地评估圆钢管构件的损伤程度,构件达到极限破坏时的损伤因子值收敛于1.0且离散性较小,构件的破坏程度可划分为基本完好、轻微与中等破坏、严重破坏和失效破坏,对应的损伤因子界限值分别为0.02,0.41和1.00。     

高增益相对论速调管放大器相位特性的模拟与实验研究

为实现高功率微波的相干功率合成, 开展了S波段高增益相对论速调管放大器输出微波相位特性的粒子模拟和实验研究, 粒子模拟与实验结果均表明电子回流是影响输出微波相位特性的主要因素. 在有效控制电子回流的情况下, 实验实现输出微波相位抖动小于± 10°, 锁相时间达90 ns. 以此计算, 若相位抖动在± 10° 内满足均匀分布, 十台该高增益相对论速调管放大器的功率合成效率将大于99%.     

Classification of Structural Complexity for Mine Ventilation Networks

The mine ventilation system is most important and technical measure for ensuring safety production in mines. The structural complexity of a mine ventilation network can directly affect the safety and reliability of the underground mining system. Quantitatively justifying the degree of complexity can contribute to providing a deeper understanding of the essential characteristics of a network. However, so far, there is no such a model which is able to simply, practically, reasonably, and quantitatively determine or compare the structural complexity of different ventilation networks. In this article, by analyzing some typical parameters of a mine ventilation network, we conclude that there is a linear functional relationship among five key parameters (number of ventilation network branches, number of nodes, number of independent circuits, number of independent paths, and number of diagonal branches). Correlation analyses for the main parameters of ventilation networks are conducted based on SPSS. Based on these findings, a new evaluation model for the structural complexity of ventilation network (which is represented by C) has been proposed. By combining SPSS classification analyses results with the characteristics of mine ventilation networks, standards for the complexity classification of mine ventilation systems are put forward. Using the developed model, we carried out analyses and comparisons for the structural complexity of ventilation networks for typical mines. Case demonstrations show that the classification results correspond to the actual situations. © 2014 Wiley Periodicals, Inc. Complexity 21: 21–34, 2015