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自行火炮扭力轴局部应力应变随机性分析及应用研究 被引量:3
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作者 贾长治 李亚东 +1 位作者 郑坚 杜秀菊 《机械强度》 CAS CSCD 北大核心 2012年第5期744-750,共7页
通过实车试验,获得自行火炮扭力轴的随机载荷谱。采用材料的分段折线式循环应力、应变幅曲线,将改进的二阶矩法与Neuber法结合,提出计算扭力轴应力集中处局部应力、应变随机性的方法。根据随机性分析结果,获得由材料和载荷随机性引起的... 通过实车试验,获得自行火炮扭力轴的随机载荷谱。采用材料的分段折线式循环应力、应变幅曲线,将改进的二阶矩法与Neuber法结合,提出计算扭力轴应力集中处局部应力、应变随机性的方法。根据随机性分析结果,获得由材料和载荷随机性引起的扭力轴局部应力、应变的概率密度函数,通过二重积分得到联合概率密度函数。结果表明,扭力轴同时具有高周和低周疲劳现象。结合工程实际提出计算不同工况下两种疲劳模式概率的方法,通过进一步研究可以得到自行火炮扭力轴的疲劳可靠性。研究方法对于工程机械装备疲劳可靠性分析和评估具有参考价值。 展开更多
关键词 自行火炮 扭力轴 随机性分析 Neuber法 二阶矩法
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基于随机性分析的虚假趋势时间序列判别
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作者 李建勋 马美玲 +1 位作者 郭建华 严峻 《计算机应用》 CSCD 北大核心 2019年第10期2955-2959,共5页
针对符合一定数据模式或规律的虚假数据识别问题,提出一种基于随机性分析的虚假趋势时间序列判别方法。该方法在分析时间序列组成的基础上,首先探索虚假趋势时间序列的简单伪造和复杂伪造方式,并将其分解为虚假趋势和虚假随机两部分;然... 针对符合一定数据模式或规律的虚假数据识别问题,提出一种基于随机性分析的虚假趋势时间序列判别方法。该方法在分析时间序列组成的基础上,首先探索虚假趋势时间序列的简单伪造和复杂伪造方式,并将其分解为虚假趋势和虚假随机两部分;然后通过基函数逼近进行时间序列虚假趋势部分的提取,采用随机性理论开展虚假随机部分的分析;最终借助单比特频数和块内频数对虚假随机部分是否具备随机性进行检测,为具有一定趋势特征的虚假时间序列的判别提供了一个解决方案。实验结果表明:该方法能够有效地分解虚假时间序列和提取虚假趋势部分,实现简单伪造数据和复杂伪造数据的判别,支持对通过观测手段或者检测设备所获取的数值型数据的真伪分析,进一步提高了虚假数据可判别范围,平均判别正确率可达74.7%。 展开更多
关键词 虚假数据 时间序列 趋势性 随机性分析 基函数
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非连续物体间火灾蔓延过程的随机分析 被引量:5
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作者 游宇航 霍然 +1 位作者 史聪灵 李元洲 《中国科学技术大学学报》 CAS CSCD 北大核心 2003年第5期586-592,共7页
引入了一个随机模型MarkovChain对在三个非连续物体间的火灾蔓延过程进行了分析 .对状态的划分 ,采用了两种处理方法 .一种是按引燃物体的顺序进行划分 ,另一种是按引燃物体的数量进行划分 .结果表明 ,应用MarkovChain来分析火灾在非连... 引入了一个随机模型MarkovChain对在三个非连续物体间的火灾蔓延过程进行了分析 .对状态的划分 ,采用了两种处理方法 .一种是按引燃物体的顺序进行划分 ,另一种是按引燃物体的数量进行划分 .结果表明 ,应用MarkovChain来分析火灾在非连续物体间的蔓延过程 ,可以对蔓延的可能性和危险性作出较好的预测 . 展开更多
关键词 火灾蔓延 非连续物体 随机性分析 MARKOV CHAIN
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宽带光谱结构编码计算光谱成像研究进展
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作者 杨文庆 霍茨 +7 位作者 孟贺岩 张景谋 李芳凝 张佳杰 孙金阳 张程 李显业 孙宝清 《红外与激光工程》 北大核心 2025年第7期209-232,共24页
光谱成像旨在获取目标物体的空间-光谱高维信息,从而显著提高对目标的识别和分类能力。基于宽带光谱结构编码的计算光谱成像技术通过对光谱维度进行结构编码,将空间-光谱数据映射为二维灰度图像。这种编码方式系统结构紧凑、易于集成。... 光谱成像旨在获取目标物体的空间-光谱高维信息,从而显著提高对目标的识别和分类能力。基于宽带光谱结构编码的计算光谱成像技术通过对光谱维度进行结构编码,将空间-光谱数据映射为二维灰度图像。这种编码方式系统结构紧凑、易于集成。因此,被广泛地应用于军事、农业、工业等领域。对于宽带光谱结构编码技术,光谱响应曲线的随机性以及重构算法是光谱重构性能的重要决定因素。而不同光谱编码方式的随机性与材料或器件的光谱编码原理密切相关。文中详细阐述了光谱响应曲线随机性对光谱重构影响的理论依据。梳理了基于实现光谱编码方式的不同技术手段,其中包括量子点、液晶、光子晶体、超表面材料、法布里-珀罗腔、光学薄膜以及混合材料等,总结了这些方案的原理与发展过程。其次,介绍了基于这些材料或器件的数据采集方案,总结了这些方案的优缺点。然后,概述了该类光谱成像技术中用到的重构算法,主要包括基于先验知识的压缩感知重构算法以及端到端的深度学习重构算法的发展。最后,对基于宽带光谱调制的计算光谱成像技术的目前存在的问题进行了分析,并对未来发展趋势及研究方向进行了展望。 展开更多
关键词 计算光谱成像 宽带光谱结构编码 压缩感知 随机性分析
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时间序列模式及其预测模型算法应用 被引量:13
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作者 吕林涛 李军怀 +2 位作者 吕晖 王鹏 王志晓 《计算机工程》 CAS CSCD 北大核心 2004年第17期50-52,共3页
通过对时间序列模式分析研究,提出了时间序列的趋势性、季节性和随机性分析的应用模型及随机性12类预测数学模型算法,以该算法实现的数据挖掘系统经实际应用后效果很好。
关键词 时间序列模式 趋势性分析 季节性分析 随机性分析 预测模型算法 数据挖掘
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一种新的超混沌序列生成方法及应用 被引量:4
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作者 田澈 卢辉斌 张丽 《计算机应用研究》 CSCD 北大核心 2012年第4期1405-1408,共4页
为解决传统低维二进制混沌序列作为伪随机序列来源而随机性不理想、动力学特性易退化的问题,利用四阶CNN细胞神经网络超混沌系统的四路实数值序列进行比较,生成一种新的四进制超混沌序列,并应用于数字签名算法和数据摘要算法。仿真结果... 为解决传统低维二进制混沌序列作为伪随机序列来源而随机性不理想、动力学特性易退化的问题,利用四阶CNN细胞神经网络超混沌系统的四路实数值序列进行比较,生成一种新的四进制超混沌序列,并应用于数字签名算法和数据摘要算法。仿真结果表明,新的超混沌序列的随机性优于传统的二进制混沌序列,能够通过"一次一密"实现复杂网络环境中的快速加密数据传输,克服现有多种加密算法已被破译的问题。 展开更多
关键词 四进制 超混沌序列 随机性分析 加密算法 数据摘要算法
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Sensitivity analysis for causal mediation analysis with Mendelian randomization
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作者 Zhiya Chen Yuxi Chen Hong Zhang 《中国科学技术大学学报》 CSCD 北大核心 2024年第12期22-32,49,I0004,I0008,I0009,共15页
Mendelian randomization(MR)is widely used in causal mediation analysis to control unmeasured confounding effects,which is valid under some strong assumptions.It is thus of great interest to assess the impact of violat... Mendelian randomization(MR)is widely used in causal mediation analysis to control unmeasured confounding effects,which is valid under some strong assumptions.It is thus of great interest to assess the impact of violations of these MR assumptions through sensitivity analysis.Sensitivity analyses have been conducted for simple MR-based causal average effect analyses,but they are not available for MR-based mediation analysis studies,and we aim to fill this gap in this paper.We propose to use two sensitivity parameters to quantify the effect due to the deviation of the IV assumptions.With these two sensitivity parameters,we derive consistent indirect causal effect estimators and establish their asymptotic propersties.Our theoretical results can be used in MR-based mediation analysis to study the impact of violations of MR as-sumptions.The finite sample performance of the proposed method is illustrated through simulation studies,sensitivity ana-lysis,and application to a real genome-wide association study. 展开更多
关键词 Mendelian randomization mediation analysis sensitivity analysis summary data
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并网逆变发电系统共模传导干扰累加效应的模型预估研究
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作者 赵密招 和军平 郑博 《电源学报》 CSCD 2017年第3期9-17,共9页
分布式新能源并网发电系统因使用电力电子接口而易在电网中产生电磁干扰,对并网逆变发电系统中共模传导干扰的累加效应及其随机特性进行研究有重要的工业应用价值。首先提出了一种结构灵活的两电平三相逆变器共模传导干扰预测模型,在其... 分布式新能源并网发电系统因使用电力电子接口而易在电网中产生电磁干扰,对并网逆变发电系统中共模传导干扰的累加效应及其随机特性进行研究有重要的工业应用价值。首先提出了一种结构灵活的两电平三相逆变器共模传导干扰预测模型,在其基础上建立并网逆变发电系统的共模传导干扰预估模型。根据逆变器中有源/无源元器件参数的随机概率分布统计特性,利用蒙特卡罗法对并网发电系统共模传导干扰发射进行随机模拟,并对系统中主要影响因素随机变化的干扰发射作用进行了分析。Matlab模型仿真及样机实测证明了研究的有效性。 展开更多
关键词 并网逆变器 共模干扰 累加效应 随机性分析
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Probabilistic analysis of random contact force between geomembrane and granular material 被引量:2
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作者 姜晓桢 束一鸣 《Journal of Central South University》 SCIE EI CAS 2014年第8期3309-3315,共7页
A probabilistic method based on principle of maximum entropy was employed to analyze the randomness of contact force between geomembrane and granular material.The contact force distribution is exponential according to... A probabilistic method based on principle of maximum entropy was employed to analyze the randomness of contact force between geomembrane and granular material.The contact force distribution is exponential according to the proposed method and the grain size is the most important factor that affects the distribution of contact force.The proposed method is then verified by a series of laboratory experiments using glass beads and cobbles as granular material and a very thin pressure,indicating that film is firstly used in these experiments which give a reliable method to measure the contact force at each contact point. 展开更多
关键词 GEOMEMBRANE granular material contact force probability density function
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Parametric analysis on buffeting performance of a long-span high-speed railway suspension bridge 被引量:5
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作者 ZHAO Kai-yong WANG Hao +2 位作者 TAO Tian-you GAO Hui WU Tong 《Journal of Central South University》 SCIE EI CAS CSCD 2022年第8期2574-2588,共15页
The buffeting performance of kilometer-level high-speed railway suspension bridges has a great impact on the smooth operation of high-speed trains.To investigate the buffeting performance of the structure significantl... The buffeting performance of kilometer-level high-speed railway suspension bridges has a great impact on the smooth operation of high-speed trains.To investigate the buffeting performance of the structure significantly different from traditional suspension bridges,the first long-span high-speed railway suspension bridge,Wufengshan Yangtze River Bridge(WYRB),is taken as a numerical example to demonstrate the effects of structural parameters and wind field parameters on the buffeting responses.Based on the design information,the spatial finite element model(FEM)of WYRB is established before testing its accuracy.The fluctuating wind fields are simulated via both classical and stochastic wave based spectral representation method(SRM).Finite element method is further taken to analyze the parametric sensitivity on wind induced buffeting responses in time domain.The results show that the vertical displacement is more sensitive to the changing dead load than the lateral and torsional ones.The larger stiffness of the main girder and the lower sag-to-span ratio are both helpful to reduce the buffeting responses.Wind spectrum and coherence function are key influencing factors to the responses so setting proper wind field parameters are essential in the wind-resistant design stage.The analytical results can provide references for wind resistance analysis and selection of structural and fluctuating wind field parameters for similar long-span high-speed railway suspension bridges. 展开更多
关键词 high-speed railway suspension bridge buffeting performance numerical analysis parametric analysis wind field simulation
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A novel weighted evolving network model based on clique overlapping growth
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作者 杨旭华 王波 孙豹 《Journal of Central South University》 SCIE EI CAS 2010年第4期830-835,共6页
A novel weighted evolving network model based on the clique overlapping growth was proposed.The model shows different network characteristics under two different selection mechanisms that are preferential selection an... A novel weighted evolving network model based on the clique overlapping growth was proposed.The model shows different network characteristics under two different selection mechanisms that are preferential selection and random selection.On the basis of mean-field theory,this model under the two different selection mechanisms was analyzed.The analytic equations of distributions of the number of cliques that a vertex joins and the vertex strength of the model were given.It is proved that both distributions follow the scale-free power-law distribution in preferential selection mechanism and the exponential distribution in random selection mechanism,respectively.The analytic expressions of exponents of corresponding distributions were obtained.The agreement between the simulations and analytical results indicates the validity of the theoretical analysis.Finally,three real transport bus networks(BTNs) of Beijing,Shanghai and Hangzhou in China were studied.By analyzing their network properties,it is discovered that these real BTNs belong to a kind of weighted evolving network model with clique overlapping growth and random selection mechanism that was proposed in this context. 展开更多
关键词 weighted network clique overlapping mean-field theory bus transport network
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Molecular characterization of Acidithiobacillus ferrooxidans strains isolated from different environments by three PCR-based methods
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作者 吴学玲 刘莉莉 +2 位作者 张真真 邓凡凡 刘新星 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第2期455-465,共11页
PCR-based DNA fingerprinting, REP-PCR(repetitive element PCR), RAPD(randomly amplified polymorphic DNA) and16 S r DNA sequence analyses were used to characterize 23 Acidithiobacillus ferrooxidans strains isolated from... PCR-based DNA fingerprinting, REP-PCR(repetitive element PCR), RAPD(randomly amplified polymorphic DNA) and16 S r DNA sequence analyses were used to characterize 23 Acidithiobacillus ferrooxidans strains isolated from different environments.(GTG)5 and BOXA1 R primer were selected for REP-PCR. Twenty arbitrary primers were used for RAPD to acquire DNA profiles from A. ferrooxidans. Both RAPD and REP-PCR produce complex banding patterns and show good discriminatory ability in differentiating closely related strains of A. ferrooxidans. The strains are clustered into 4 or 5 major groups and reveal genomic diversity using(GTG)5-PCR, BOX-PCR and RAPD analysis. Phylogenetic tree based on 16 S r DNA sequences of 23 strains and related strains shows that they are clustered into two distinct groups. Twelve strains are highly related to a new Acidithiobacillus named Acidithiobacillus ferrivorans. The results indicate that PCR-based methods are effective in revealing genetic diversity among A. ferrooxidans. 展开更多
关键词 Acidithiobacillus ferrooxidans repetitive element PCR(REP-PCR) randomly amplified polymorphic DNA(RAPD) 16S r DNA sequence analysis genetic diversity
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