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基于概率密度演化方法的随机MSCSS构造研究 被引量:6

Research on the construction of the stochastic MSCSS based on the probability density evolutionary method
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摘要 附加柱是巨子型有控结构体系(Mega-Sub Controlled Structure System,即MSCSS)中的关键因素,为了确定MSCSS的细部构造,本文对附加柱的连接方式进行了研究。针对四种附加柱的构造方案,利用切球选点方法,确定了91个不同材料参数及地震强度的随机工况,在此基础上进行了随机巨子型有控结构体系在随机激励下的动力特性分析;基于概率密度演化理论,对各种附加柱构造情况下MSCSS的位移、加速度、附加柱应力的均值和标准差进行对比,确定了最佳的附加柱构造方案。结果表明,释放MSCSS附加柱顶端的水平约束,可以有效地降低MSCSS的加速度、位移、附加柱应力响应,使MSCSS抗震性能的优越性得到充分的发挥。本文提出的MSCSS基本构造形式可为MSCSS的进一步深入研究提供依据。 The additional column is the key factor of the MSCSS(Mega-sub Controlled Structure System).The connection type between the additional column and the mega beam is investigated in order to perfect the MSCSS.Directing at four constructional schemes,ninety-one stochastic stations of the different material parameter and seismic strength are determined by employing the strategy of selecting points via sphere of contact.The dynamic characteristics of the stochastic MSCSS are investigated under these stochastic seismic excitations.The mean and standard deviation of the displacement,acceleration of the MSCSS,as well as the stress of the additional column for four constructional schemes are compared with each other based on the theory of probability density evolution.Then the optimal constructional scheme of the additional column is established.The result obtained shows that the displacement and acceleration responses of the MSCSS,together with the stress responses of the additional column can be reduced effectively when the horizontal restraint between the additional column and mega-beam is released.This construction method of the additional column can give full play to the excellent aseismatic ability of the MSCSS.The basic construction form is concluded and the result may lay a foundation for the further research of the MSCSS.
作者 李涛 张洵安
机构地区 西北工业大学
出处 《应用力学学报》 CAS CSCD 北大核心 2011年第6期576-582,671,共7页 Chinese Journal of Applied Mechanics
基金 教育部博士点基金项目(20096102110018)
关键词 巨子型有控结构体系 附加柱 概率密度演化理论 均值 标准差 MSCSS,additional column,probability density evolution theory,mean,standard deviation.
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