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陈建兵, 李杰. 结构随机反应概率密度演化分析的数论选点法[J]. 力学学报, 2006, 38(1): 127-133. DOI:10.6052/0459-1879-2006-1-2005-054
引用本文: 陈建兵, 李杰. 结构随机反应概率密度演化分析的数论选点法[J]. 力学学报, 2006, 38(1): 127-133.DOI:10.6052/0459-1879-2006-1-2005-054
Strategy of selecting points via number theoretical method in probability density evolution analysis of stochastic response of structures[J]. Chinese Journal of Theoretical and Applied Mechanics, 2006, 38(1): 127-133. DOI:10.6052/0459-1879-2006-1-2005-054
Citation: Strategy of selecting points via number theoretical method in probability density evolution analysis of stochastic response of structures[J].Chinese Journal of Theoretical and Applied Mechanics, 2006, 38(1): 127-133.DOI:10.6052/0459-1879-2006-1-2005-054

结构随机反应概率密度演化分析的数论选点法

Strategy of selecting points via number theoretical method in probability density evolution analysis of stochastic response of structures

  • 摘要:密度演化方法可以直接获取结构的线性和非线性反应概率密度函数解答及其演化过程. 当结构参数与激励中含有多个随机变量时,在多维随机变量空间中的离散代表点选点规则对密度演化分析的精度和效率至关重要. 基于高维数值积分的数论方法,建议了多维随机变量空间的数论选点方法. 利用多维随机变量空间的联合概率密度函数的球对称性或近似辐射衰减性质,对数论方法给出的单位超立方体中的分布点集进行筛选,可大幅度减少选点数目,从而将具有多个随机变量的结构随机反应分析问题计算工作量降低到与单一随机变量结构随机反应分析问题相当的水平.

    Abstract:The newly developed probability density evolution method(PDEM) is capable of capturing instantaneous probability density functionand its evolution of linear and/or nonlinear stochastic response ofstructures. In the occasions that multiple random parameters are involved inthe structural properties and external excitations, the strategy ofselecting representative points required in the PDEM is of paramountimportance to the accuracy and efficiency. Enlightened by the NumberTheoretical Method successfully employed in high-dimensional numericalintegration, the strategy of selecting points via Number Theoretical Methodis proposed in the present paper. Further, making use of the sphericallysymmetric properties or the radial attenuation properties of the jointprobability density function, the points scattered over themulti-dimensional hypercube selected by the Number Theoretic Method aresieved once again such that only the points inside the multi-dimensionalhyper-ball are retained. With the proposed strategy of selecting points, thestochastic response analysis involving multiple random parameters is almostas efficient as the problem involving only one single random parameter.

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