斜波压缩实验数据的正向Lagrange处理方法研究

罗斌强; 张红平; 赵剑衡; 孙承纬

doi:10.11883/1001-1455(2017)02-0243-06

斜波压缩实验数据的正向Lagrange处理方法研究

doi: 10.11883/1001-1455(2017)02-0243-06

中国工程物理研究院流体物理研究所，四川绵阳 621999

基金项目:

国家自然科学基金项目 11302203

国家自然科学基金项目 11327803

国家自然科学基金项目 11502252

中国工程物理研究院流体物理研究所发展基金项目 SFZ201401(04)03

详细信息

作者简介:
罗斌强(1985-)，男，博士，助理研究员，bqluoo@caep.cn

中图分类号: O381
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- 被引次数: 0
出版历程
- 收稿日期: 2015-07-21
- 修回日期: 2015-11-05
- 刊出日期: 2017-03-25

Lagrangian forward analysis in data processing of ramp wave compression experiments

Institute of Fluid Physics, Chinese Academy of Engineering Physics, Mianyang 621999, Sichuan, China

摘要

摘要: 提出了一种联合使用Lagrange方法和转换函数方法来处理斜波压缩实验数据的新途径，和传统的数据处理方法相比，该方法更适合处理材料的复杂力学响应并具有较好的精度，同时该方法使用过程中对样品材料参数的初猜值精度要求更低。分析了转换函数方法的可靠性和健壮性，讨论了转换函数和Lagrange方法联合在斜波压缩强度实验数据处理中的应用，获得了可靠的结果。
- Lagrange方法 /
- 转换函数 /
- 数据处理 /
- 斜波压缩
Abstract: In the present work, we developed a novel method combining the forward Lagrange method and the transfer function method to process the data of ramp wave compression experiments. Compared with traditional methods, this method is more suitable to process the data containing materials' complex behaviors and produces more accurate results. Meanwhile, this method has lower precision requirement regarding the initial gauss of testing material parameters. The feasibility and robustness of the transfer function method was analyzed, and the application of the forward Lagrange method and the transfer function method were examined in forward data processing of strength measurement experiments under ramp wave compression.
- Lagrangian method /
- transfer function method /
- data processing /
- ramp wave compression

HTML全文

图 1 Lagrange正向数据处理流程图

Figure 1. Flow chart of Lagrangian forward data processing

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图 2 转换函数方法的验证

Figure 2. Validation of transfer function method

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图 3 不考虑强度效应时的转换函数方法健壮性验证

Figure 3. Robustness validation of transfer function method by ignoring the strength effect

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图 4 转换函数方法健壮性验证

Figure 4. Robustness validation of transfer function method

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图 5 Lagrange方法和转换函数方法在强度实验数据分析中的应用

Figure 5. Application of Lagrangian method and transfer function methods in experimental strength data analysis

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