A key limitation of current moderate and high strain rate test methods is the need for external force measurement. For high loading rate hydraulic machines, ringing in the load cell corrupts the force measurement. Similarly, the analysis of split-Hopkinson bar tests requires the assumption that the specimen is in a state of quasi-static equilibrium. Recently, image-based inertial test methods have shown that external force measurement is not required if full-field measurements are available and inertial effects are significant enough. In this case the load information is provided by the acceleration fields which are derived from full-field displacement measurements. This article describes a new image-based inertial test method that can be used for simultaneous quasi-static and high strain rate stiffness identification on the same test sample. An experimental validation of the new test method is provided using PMMA samples. A major advantage of this new test method is that it utilises a standard tensile test machine and the only specialist equipment that is required is an ultra-high speed camera.

中文翻译：

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基于图像的惯性释放 (IBIR) 测试：一种新的用于刚度应变率灵敏度识别的高应变率测试

当前中等和高应变率测试方法的一个关键限制是需要测量外力。对于高负载率液压机，称重传感器中的振铃会破坏力测量。同样，分裂霍普金森杆测试的分析需要假设试样处于准静态平衡状态。最近，基于图像的惯性测试方法表明，如果可以进行全场测量并且惯性效应足够显着，则不需要外力测量。在这种情况下，载荷信息由来自全场位移测量的加速度场提供。本文介绍了一种新的基于图像的惯性测试方法，该方法可用于对同一测试样品同时进行准静态和高应变率刚度识别。使用 PMMA 样品对新测试方法进行了实验验证。这种新测试方法的一个主要优点是它使用标准拉伸试验机，唯一需要的专业设备是超高速相机。