Backward integration method in data processing of quasi-isentropic compression experiment
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摘要: 目前准等熵压缩实验中仅能直接得到加载条件相同、厚度不同的平行样品的自由面/窗口界面速度历程. 为得到固体样品内部的信息, 在基于无黏流体反积分方法的基础上, 对该方法进行了改进, 修正自由面反射对应力波的扰动, 加入流体弹塑性模型计算偏应力, 通过优化调整等熵参考线方程中的参数, 反演出了样品内部任意位置处的准等熵加载历史, 得到了样品的热力学准等熵参考线. 通过和已有的实验计算数据的比较, 验证了反积分方法的可靠性,从而为准等熵实验提供了高效可信的反积分数据处理方法.
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关键词:
- 激光驱动
Abstract: Quasi-isentropic compression can be used to investigatedynamics characteristics of solid material in large pressure range. But, bynow, only velocity histories of sample surfaces with different thickness canbe measured directly. To obtain the inner information of the solid sample,the backward integration method is used. The traditional backwardintegration method is based on non-viscous fluid model, and is not suitablein solids experimental data processing. Several improvements on the backwardintegration method are presented in this paper: deviatonic stress iscalculated using fluid elastic-plastic model; isentrope derived fromH\"{u}goniot line is used for describing thermodynamic response, and thepressure-volume relation is varied by parameters optimizing method. Usingthis improved backward integration method, experimental data of copper andaluminum samples compressed by magnetic drive and laser drive respectivelyare analyzed. The load histories and quasi-isentropic lines agree well withthe data from references.-
Key words:
- laser driving
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