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1)  stochastic external excitation
随机外激励
2)  random excitation
随机激励
1.
Dynamic reliability sensitivity analysis for stochastic structures under random excitations;
随机激励下随机结构动力可靠性灵敏度分析
2.
Nonlinear dynamic analysis of aluminum honeycomb sandwich board based on random excitation
随机激励下铝蜂窝夹层板非线性特性研究
3.
By means of impulse response and matrix perturbation method of nonlinear system, the author finds that the response statistics of a nonlinear system are subjected to random excitation.
利用线性系统脉冲响应函数的概念,采用矩阵摄动法对非线性系统受随机激励的响应进行分析,得到了求解此类问题的一般途径,给出算例,并讨论了其可信度和精度
3)  stochastic excitation
随机激励
4)  random excitations
随机激励
1.
Precise time-integration method with augmented matrix for structural responses to evolutionary random excitations;
受演变随机激励结构响应的增维精细时程积分法
2.
A review of various methods of response analysis for nonlinear marine structures under random excitations;
随机激励下非线性海洋结构物响应分析方法研究进展
3.
In studying the reinforcement of steel girder bridges in the project of raising train speeds of China抯 railway, a spatial dynamic analysis model for train-bridge systems under random excitations was established.
通过建立随机激励下的车桥耦合系统的空间动力模型,研究了提速条件下上承式钢板梁的加固问题。
5)  pseudo-random stimulus
伪随机激励
6)  non-stationary random excitation
非平稳随机激励
1.
Modal identification to non-stationary random excitation based on wavelet transform and co-integration theory;
非平稳随机激励下结构模态识别的小波协整方法(英文)
2.
Method of modal identification based on wavelet transform in LTI system under non-stationary random excitation;
非平稳随机激励下线性系统模态识别的小波方法
3.
For dynamic reliability analysis of stochastic structures under non-stationary random excitation,a new dynamic reliability assessment method is presented based on the point estimation.
针对随机结构在非平稳随机激励下的动力可靠性分析问题,提出了基于点估计法的随机结构动力可靠性分析方法。
补充资料:随机数和伪随机数


随机数和伪随机数
random and pseudo-randan numbers

随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了,a如曰e”nce,口oc月卿成.以叹“c月a】 数亡。(特别,二进制数:。),其顺序出现,满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的,前者由随机的装置来生成,而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质,这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O,l]上均匀分布的随机数亡。,尸(亡。
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