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LONGITUDINALLY JOINTED EDGE-WISE COMPRESSION HONEYCOMB COMPOSITE SANDWICH COUPON TESTING AND FE ANALYSIS: THREE METHODS OF STRAIN MEASUREMENT, AND COMPARISON

机译:纵向关节边缘压缩蜂窝复合夹层夹层试样测试和FE分析:三种应变测量方法,并比较

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In accordance with ASTM C364, three distinct strain measurement methods (i.e. foil resistance strain gages, fiber optic strain sensors, and a three-dimensional digital image photogrammetry that gives full field strain and displacement measurements) were implemented to measure strains on the back and front surfaces of a longitudinally jointed curved test article subjected to edge- wise compression testing, at NASA Goddard Space Flight Center. The pre-test finite element analysis (FEA) was conducted to assess ultimate failure load and predict strain distribution pattern throughout the test coupon. The predicted strain pattern contours were then utilized as guidelines for installing the strain measurement instrumentations. The foil resistance strain gages and fiber optic strain sensors were bonded on the specimen at locations with nearly the same analytically predicted strain values, and as close as possible to each other, so that, comparisons between the measured strains by strain gages and fiber optic sensors, as well as the three-dimensional digital image photogrammetric system are relevant. The test article was loaded to failure (at ~167 kN), at the compressive strain value of ~10,000 μ?. As a part of this study, the validity of the measured strains by fiber optic sensors is examined against the foil resistance strain gages and the three-dimensional digital image photogrammetric data, and comprehensive comparisons are made with FEA predictions.
机译:根据ASTM C364,实现了三种不同的应变测量方法(即箔电阻应变测量,光纤应变传感器和提供完全场应变和位移测量的三维数字图像摄影测量)以测量背面和前部的菌株NASA戈达德太空飞行中心的纵向关节弯曲试验文章的表面进行了边缘压缩测试。进行预测试有限元分析(FEA)以评估整个测试优惠券的最终失效负载和预测应变分布模式。然后将预测的应变模式轮廓用作用于安装应变测量仪器的准则。箔抗性应变计和光纤应变传感器在具有几乎相同的分析预测的应变值的位置上粘合在标本上,并且尽可能彼此接近,因此,测量菌株通过应变计和光纤传感器之间的比较以及三维数字图像摄影测量系统是相关的。将测试制品装入故障(在〜167kN),压缩应变值为约10,000μΩ。作为本研究的一部分,通过光纤传感器的测量菌株对测量菌株的有效性针对箔电阻应变测量和三维数字图像摄影测量数据,以及使用FEA预测来进行综合比较。

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