首页> 外文OA文献 >Ground Vibration Test Planning and Pre-Test Analysis for the X-33 Vehicle
【2h】

Ground Vibration Test Planning and Pre-Test Analysis for the X-33 Vehicle

机译:X-33车辆的地面振动测试计划和预测试分析

摘要

This paper describes the results of the modal test planning and the pre-test analysis for the X-33 vehicle. The pre-test analysis included the selection of the target modes, selection of the sensor and shaker locations and the development of an accurate Test Analysis Model (TAM). For target mode selection, four techniques were considered, one based on the Modal Cost technique, one based on Balanced Singular Value technique, a technique known as the Root Sum Squared (RSS) method, and a Modal Kinetic Energy (MKE) approach. For selecting sensor locations, four techniques were also considered; one based on the Weighted Average Kinetic Energy (WAKE), one based on Guyan Reduction (GR), one emphasizing engineering judgment, and one based on an optimum sensor selection technique using Genetic Algorithm (GA) search technique combined with a criteria based on Hankel Singular Values (HSV's). For selecting shaker locations, four techniques were also considered; one based on the Weighted Average Driving Point Residue (WADPR), one based on engineering judgment and accessibility considerations, a frequency response method, and an optimum shaker location selection based on a GA search technique combined with a criteria based on HSV's. To evaluate the effectiveness of the proposed sensor and shaker locations for exciting the target modes, extensive numerical simulations were performed. Multivariate Mode Indicator Function (MMIF) was used to evaluate the effectiveness of each sensor & shaker set with respect to modal parameter identification. Several TAM reduction techniques were considered including, Guyan, IRS, Modal, and Hybrid. Based on a pre-test cross-orthogonality checks using various reduction techniques, a Hybrid TAM reduction technique was selected and was used for all three vehicle fuel level configurations.
机译:本文介绍了X-33车辆的模态测试计划和预测试分析的结果。测试前的分析包括目标模式的选择,传感器和振荡器位置的选择以及精确的测试分析模型(TAM)的开发。对于目标模式选择,考虑了四种技术,一种基于模态成本技术,一种基于平衡奇异值技术,一种称为“平方根”(RSS)方法的技术,以及一种模态动能(MKE)方法。在选择传感器位置时,还考虑了四种技术。一种基于加权平均动能(WAKE),一种基于Guyan Reduction(GR),一种强调工程判断,另一种基于遗传算法(GA)搜索技术结合基于Hankel的准则的最优传感器选择技术奇异值(HSV)。在选择振动筛位置时,还考虑了四种技术。一种基于加权平均行驶点残差(WADPR),一种基于工程判断和可及性考虑因素,一种频率响应方法,以及一种基于GA搜索技术结合基于HSV的标准的最佳振动筛位置选择。为了评估所提出的传感器和振动筛位置对激发目标模式的有效性,进行了广泛的数值模拟。多元模式指示器功能(MMIF)用于评估每个传感器和振动台组在模态参数识别方面的有效性。考虑了几种TAM减少技术,包括Guyan,IRS,Modal和Hybrid。基于使用各种降低技术的测试前交叉正交性检查,选择了混合TAM降低技术,并将其用于所有三种车辆燃油液位配置。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号