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统计能量分析中参数不确定性分析

肖艳平 宋海洋 叶献辉

肖艳平, 宋海洋, 叶献辉. 统计能量分析中参数不确定性分析[J]. 应用数学和力学, 2019, 40(4): 443-451. doi: 10.21656/1000-0887.390216
引用本文: 肖艳平, 宋海洋, 叶献辉. 统计能量分析中参数不确定性分析[J]. 应用数学和力学, 2019, 40(4): 443-451. doi: 10.21656/1000-0887.390216
XIAO Yanping, SONG Haiyang, YE Xianhui. Parameter Uncertainty in Statistical Energy Analysis[J]. Applied Mathematics and Mechanics, 2019, 40(4): 443-451. doi: 10.21656/1000-0887.390216
Citation: XIAO Yanping, SONG Haiyang, YE Xianhui. Parameter Uncertainty in Statistical Energy Analysis[J]. Applied Mathematics and Mechanics, 2019, 40(4): 443-451. doi: 10.21656/1000-0887.390216

统计能量分析中参数不确定性分析

doi: 10.21656/1000-0887.390216
基金项目: 国家自然科学基金(51606180;11872060)
详细信息
    作者简介:

    肖艳平(1980—),女,副教授,博士(通讯作者. E-mail: xiaoyp6688@sina.com).

  • 中图分类号: TB533;O32

Parameter Uncertainty in Statistical Energy Analysis

Funds: The National Natural Science Foundation of China(51606180;11872060)
  • 摘要: 统计能量分析方法是计算结构高频振动噪声的有效方法之一,内损耗因子和耦合损耗因子是其中重要的参数但不易测量,测量误差通常比较大,导致计算得到的子系统振动能量和真实值之间存在偏差.为解决上述问题,该文采用了4种不同的区间分析方法:区间矩阵摄动法、基于区间变量特性法、仿射算法和仿射逆矩阵法,从理论上计算了统计能量分析子系统的振动能量区间,该区间结果充分考虑了内损耗因子和耦合损耗因子的测量误差对计算结果的影响,对传统的统计能量分析理论进行了完善.然后,通过算例比较了每种方法所求子系统总能量区间的优劣.
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出版历程
  • 收稿日期:  2018-08-07
  • 修回日期:  2018-10-25
  • 刊出日期:  2019-04-01

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