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Digital Image Correlation Data Processing and Analysis Techniques to Enhance Test Data Assessment and Improve Structural Simulations

机译:数字图像相关数据处理和分析技术可增强测试数据评估并改善结构仿真

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The NASA Shell Buckling Knockdown Factor Project (SBKF) was established in 2007 by the NASA Engineering and Safety Center (NESC) with the primary goal to develop new analysis-based buckling design factors (a.k.a. knockdown factors) and high-fidelity buckling simulations for selected launch-vehicle-like cylindrical shell structures. A series of tests are being conducted on large-scale metallic and composite cylindrical shells in order to provide validation data for these new factors and simulations. However, the validation of these new factors and simulations is quite demanding and requires test data that is commensurate with their fidelity. Traditional instrumentation, such as linear variable displacement transducers (LVDTs) and electrical-resistance strain gages serve a critical role in providing accurate displacement and strain measurements in these tests, but only allow for data to be recorded at a select number of point locations and are not sufficient to provide all the necessary validation data. Advanced measurement technologies can be used effectively to complement traditional instrumentation and gather additional data required to validate these structural simulations. In particular, three-dimensional digital image correlation (DIC) was implemented during SBKF cylinder testing to characterize the full-field displacement and strain behavior. Commercially available VIC-3D~(™) software and user-written data processing scripts were used to generate valuable data and insight into the complex buckling response of the cylinders that otherwise would be impossible to gather using traditional instrumentation. In addition, the measured data from DIC was used to verify measured test data obtained from other instrumentation, enhance test and analysis correlation, and help identify the root cause of anomalous test results that may have gone unexplained if only traditional instrumentation was used. Selected test results that demonstrate the use of DIC on the SBKF cylinders are presented and a portion of the data processing methods are described.
机译:美国宇航局壳牌扣边因子项目(SBKF)于2007年由美国宇航局的工程和安全中心(NESC)成立,主要是开发新的分析基于分析的屈曲设计因素(AKA敲低因子)和选择的高保真屈曲模拟发动车辆样圆柱形壳结构。在大型金属和复合圆柱壳上进行一系列测试,以便为这些新因素和模拟提供验证数据。但是,这些新因素和模拟的验证非常苛刻,并且需要与其忠诚相称的测试数据。传统仪器,如线性可变位移传感器(LVDT)和电阻应变计在这些测试中提供准确的位移和应变测量方面发挥着关键作用,但仅允许在选择数量的点位置记录数据。不足以提供所有必要的验证数据。高级测量技术可以有效地使用,以补充传统的仪器,并收集验证这些结构模拟所需的额外数据。特别地,在SBKF汽缸测试期间实现了三维数字图像相关(DIC),以表征全场位移和应变行为。商业上可获得的VIC-3D〜(™)软件和用户写入的数据处理脚本用于生成有价值的数据和洞察汽缸的复杂屈曲响应,否则不可能使用传统仪器来收集。此外,来自DIC的测量数据用于验证从其他仪器获得的测量测试数据,增强测试和分析相关性,并且如果使用传统仪器,则帮助识别可能已经无法解释的异常测试结果的根本原因。提出了演示在SBKF汽缸上使用DIC的所选测试结果,并且描述了一部分数据处理方法。

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