西南交通大学学报
西南交通大學學報
서남교통대학학보
JOURNAL OF SOUTHWEST JIAOTONG UNIVERSITY
2014年
2期
220-226
,共7页
概率密度演化方法%混沌多项式展开%Monte Carlo模拟%随机地震动%Karhunen-Loève分解
概率密度縯化方法%混沌多項式展開%Monte Carlo模擬%隨機地震動%Karhunen-Loève分解
개솔밀도연화방법%혼돈다항식전개%Monte Carlo모의%수궤지진동%Karhunen-Loève분해
probability density evolution method%polynomial chaos expansion%Monte Carlo simulation%random ground motion%Karhunen-Loève expansion
为深入探讨概率密度演化方法对于非线性随机振动分析的适用性,考察了随机地震动作用下一类硬弹簧Duffing振子的非线性响应,对概率密度演化方法与经典非线性随机振动分析进行了比较研究。结果表明:在弱非线性水平,概率密度演化方法与混沌多项式展开、Monte Carlo模拟的解答一致;在强非线性水平,数值求解误差、人为截断误差放大,概率密度演化方法与混沌多项式展开解答在Monte Carlo模拟解附近上下波动,表明概率密度演化方法与经典非线性随机振动解答在均方特征意义上是等价的。
為深入探討概率密度縯化方法對于非線性隨機振動分析的適用性,攷察瞭隨機地震動作用下一類硬彈簧Duffing振子的非線性響應,對概率密度縯化方法與經典非線性隨機振動分析進行瞭比較研究。結果錶明:在弱非線性水平,概率密度縯化方法與混沌多項式展開、Monte Carlo模擬的解答一緻;在彊非線性水平,數值求解誤差、人為截斷誤差放大,概率密度縯化方法與混沌多項式展開解答在Monte Carlo模擬解附近上下波動,錶明概率密度縯化方法與經典非線性隨機振動解答在均方特徵意義上是等價的。
위심입탐토개솔밀도연화방법대우비선성수궤진동분석적괄용성,고찰료수궤지진동작용하일류경탄황Duffing진자적비선성향응,대개솔밀도연화방법여경전비선성수궤진동분석진행료비교연구。결과표명:재약비선성수평,개솔밀도연화방법여혼돈다항식전개、Monte Carlo모의적해답일치;재강비선성수평,수치구해오차、인위절단오차방대,개솔밀도연화방법여혼돈다항식전개해답재Monte Carlo모의해부근상하파동,표명개솔밀도연화방법여경전비선성수궤진동해답재균방특정의의상시등개적。
In order to reveal the applicability of the probability density evolution method in nonlinear random vibration analysis,a comparative research of the probability density evolution method and the classical nonlinear random vibration analysis was carried out by investigating the nonlinear responses of a class of randomly base-driven Duffing oscillators using the probability density evolution method (PDEM),the adaptive polynomial chaos expansion (APCE)and the Monte Carlo simulation (MCS). A physically based stochastic ground motion model was employed,and represented by a Karhunen-Loève expansion in the application of the APCE. This discrete representation can be viewed as a projection of the physical vector space into the Gaussian vector space. Numerical results reveal that the solution processes of the three approaches are identical to weakly nonlinear systems,while they are approximately identical to strongly nonlinear systems though errors resulted from numerical techniques and artificial truncations are amplified,indicating that the solution of the PDEM is equivalent to that of the classical nonlinear random vibration analysis in the mean-square sense. The PDEM,moreover, goes a step further than the classical nonlinear random vibration analysis since the probability density function of responses and the dynamic reliability of systems can be simultaneously provided by the PDEM. The other methods,however,need much more computational efforts to obtain high order statistics of responses.