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多项式输出中相关变量的结构贡献和相关贡献分析
引用本文:吴丹清,吕震宙,胡吉祥. 多项式输出中相关变量的结构贡献和相关贡献分析[J]. 国防科技大学学报, 2014, 36(5): 26-32
作者姓名:吴丹清  吕震宙  胡吉祥
作者单位:西北工业大学航空学院,陕西西安,710072
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目);博士学科点专项科研基金项目;航空基金项目
摘    要:以二次不含交叉项的多项式为例,解析推导了正态相关输入变量对输出响应量方差贡献的结构贡献部分和相关贡献部分。通过算例验证了解析结果的正确性。将所研究的指标和已有的进行对比,归纳出结构贡献部分和相关贡献部分的侧重与统一。解析解可直接用于极限状态函数不超过两次且不含交叉项的结构和相关贡献的识别,为其他新的数值算法提供了参考对照。

关 键 词:结构贡献  相关贡献  二次不含交叉项  解析解
收稿时间:2014-04-01

Analysis of structural and correlative contributions by correlated variables in polynomial output
WU Danqing,LYU Zhenzhou and HU Jixiang. Analysis of structural and correlative contributions by correlated variables in polynomial output[J]. Journal of National University of Defense Technology, 2014, 36(5): 26-32
Authors:WU Danqing  LYU Zhenzhou  HU Jixiang
Affiliation:WU Danqing;LYU Zhenzhou;HU Jixiang;School of Aeronautics,Northwestern Polytechnical University;
Abstract:In order to distinguish the structural contribution and the correlative contribution of correlated input variables on the output, the polynomial outputs are investigated. Then for the quadratic polynomial without cross terms outputs, the analytical solutions are derived on the condition of the correlated normal input variables. The numerical results of several examples validate the correctness of analytical solutions. Comparing the presented indices with the existent indices, some general conclusions are drawn and the differences of them are identified. The analytical solutions derived in this work can be conveniently used to identify the structural contribution and the correlative contribution of the quadratic polynomial without cross-terms, which offer the comparison for the novel numerical algorithm.
Keywords:structural contribution  correlative contribution  quadratic polynomial without cross terms  analytical solution
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