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基于最小二乘法的反应流拉格朗日分析在冲击起爆中的研究
引用本文:陶为俊,浣石,蒋国平.基于最小二乘法的反应流拉格朗日分析在冲击起爆中的研究[J].计算力学学报,2013,30(4):570-574.
作者姓名:陶为俊  浣石  蒋国平
作者单位:广州大学工程抗震研究中心,广州,510405
基金项目:国家自然科学基金(10972060);高等学校博士学科点科研基金(20104410110003);广州大学新苗计划(2012-17)资助项目.
摘    要:现有反应流拉格朗日分析方法在已知粒子速度情况下,求解方法仍有不足。本文针对这一情况,将反解法与自洽检验法相结合,提出了基于最小二乘法的反应流拉格朗日反解法,该方法的理论精度能够实现应力沿路径线的 M阶导数为零(M为迹线数),并且该方法能够满足自洽检验法。为了验证该方法的有效性,利用该方法对一组小隔板冲击起爆试验数据进行了处理,对比了本文方法、试验处理以及传统的反解法处理结果,表明该方法不仅可以适当减小迹线上的偶然误差,还能够使得迹线函数更好地反映各物理量沿迹线的变化性态。

关 键 词:反应流拉格朗日分析  冲击起爆  最小二乘
收稿时间:2012/3/29 0:00:00
修稿时间:2012/8/21 0:00:00

Reactive flow Lagrangian analysis with least squares in shock to detonation transition
TAO Wei-jun,HUAN Shi and JIANG Guo-ping.Reactive flow Lagrangian analysis with least squares in shock to detonation transition[J].Chinese Journal of Computational Mechanics,2013,30(4):570-574.
Authors:TAO Wei-jun  HUAN Shi and JIANG Guo-ping
Institution:Earthquake Engineering Research & Test Center, Guangzhou University, Guangzhou 510405, China;Earthquake Engineering Research & Test Center, Guangzhou University, Guangzhou 510405, China;Earthquake Engineering Research & Test Center, Guangzhou University, Guangzhou 510405, China
Abstract:The existing reactive flow Lagrangian analysis methods are still inadequate when measured the particle velocity records from a series of gauges embedded in material.Based on this point,a new reactive flow Lagrangian analysis method combined the inverse analysis with self-consistency examination is presented.The theoretical accuracy of the method met the self-consistency examination can achieve M-order partial derivatives equal to zero.Besides,the verification of the method for shock to detonation transition (SDT) is studied by a set of test data of small scale gap tests (SSGT).Compared the method,experiment and the traditional inverse analysis results,it not only reduced the accidental error of particle-line,but also makes the particle-line function to reflect the behavior of the various physical quantities along the particle-line.
Keywords:reactive flow Lagrangian analysis  SDT  least squares
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