适应性底座附加载荷影响因素的敏感度分析

摘要/Abstract

摘要：

摘要：为研究悬垂弹射系统适应性底座附加载荷影响因素的敏感度，分析了附加载荷的产生原理，推导出附加载荷的数学计算公式；建立了适应性底座附加载荷基准数值模型并通过实验加以验证，同时，将附加载荷的数值解与解析解进行对比；利用结合参数化技术与多元广义多项式神经网络技术对附加载荷影响因素的敏感度进行分析.结果表明：适应性底座S弯处的最小直径D2和离地高度H与附加载荷峰值呈正比关系，S弯处最大直径D1、S弯下弯半径R1以及S弯上弯半径R2与附加载荷峰值呈反比关系；D2、D1及H为影响附加载荷峰值的主要因素，R1及R2为影响附加载荷峰值的次要因素；各影响因素对附加载荷峰值影响的敏感度排序为D1>H>D2>R2>R1.

关键词: 适应性底座, 附加载荷, 神经网络, 参数化分析, 敏感度

Abstract:

Abstract： The additional load is one of the most important mechanical performance index of the adaptive base. To research the sensitivity of affecting factors for additional load of the adaptive base, the additional load mechanical model of the adaptive base was established, and the mathematical calculation formula of the additional load was deducted. Besides, the numerical model of the adaptive base was built, the numerical modeling method was verified by the test, and the numerical result was compared with the analytical solution of the additional load. Combining the parametric technology, the multipleinput with the singleoutput neural network method, the sensitivity research for affecting factors of additional load was conducted. The research shows that the minimum diameter D2 in the S bending and the height H from the ground are proportional to the peak value of additional load. The maximum diameter D1 in the S bending, the down bending radius R1 and the upper bending radius R2 of the S bending are inversely proportional to the peak value of additional load. D2, D1 and H are the main affecting factors while R1 and R2 are the secondary affecting factors for the peak value of additional load, and the affecting factors for the additional impact load are D1>H>D2>R2>R1 in order.

Key words: adaptive base, additional load, neural network, parametric analysis, sensitivity

中图分类号:

TJ 768.8

周晓和1，任杰1，马大为1，朱忠领1，王玺2. 适应性底座附加载荷影响因素的敏感度分析[J]. 上海交通大学学报（自然版）, 2015, 49(05): 657-662.

ZHOU Xiaohe1,REN Jie1,MA Dawei1,ZHU Zhongling1,WANG Xi2. Sensitivity Analysis of Affecting Factors for Additional Load of Adaptive Base[J]. Journal of Shanghai Jiaotong University, 2015, 49(05): 657-662.

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