蜂窝夹层板撞击实验数据中的野值判别

doi:10.7527/S1000-6893.2014.0049

Abstract

Abstract:

To correct the ballistic limit equations of honeycomb sandwich panel based on hypervelocity impact physical experiment data is a common method to obtain high credibility equations. In order to improve the reliability of physical experimental data, a method to distinguish the outliers is studied. Among 131 experimental data of honeycomb sandwich panel with carbon fiber reinforced plastic (CFRP) faceplates, 1 outlier is found using the method. Eliminating the outlier, new equations are obtained by re-correcting the equations based on the rest 130 data. The new equations' totality predicted rate and safety predicted rate reach 82.3% and 93.1%, respectively. And the sum of squared absolute errors and sum of squared relative errors are 0.010 and 0.506, respectively. Compared with the correction equations without eliminating the outlier, the new equations are improved. The results show that the experimental outlier data identification method is feasible and effective. To test the feasibility of the method, the experimental data of honeycomb sandwich panel with aluminum alloy faceplates are also analyzed and the results show that this method can be reasonably used to identify outliers.

Key words: hypervelocity impact, honeycomb sandwich panel, ballistic limit equation, outlier, equation correction

CLC Number:

V423.4⁺3

JIA Guanghui, LI Xuan, OUYANG Zhijiang. Outlier identification from impact experimental data of honeycomb sandwich panel[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(2): 548-554.

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Outlier identification from impact experimental data of honeycomb sandwich panel

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