Sign-Perturbed Sums Approach for Data Treatment of Dynamic Fracture Tests

被引:0
作者
Volkova, Marina [1 ]
Volkov, Grigory [1 ,2 ]
Granichin, Oleg [1 ,2 ]
Petrov, Yuri [1 ,2 ]
机构
[1] St Petersburg State Univ, Fac Math & Mech, 7-9,Univ Skaya Nab, St Petersburg 199034, Russia
[2] Russian Acad Sci, Inst Problems Mech Engn, Moscow, Russia
来源
2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2017年
基金
俄罗斯科学基金会;
关键词
STRENGTH; TEMPERATURES; DEPENDENCE; CAVITATION; TOUGHNESS; MODELS; STEEL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Sign-Perturbed Sums (SPS) randomized algorithm is adapted to the procedure of data treatment of dynamic fracture tests. The original method is modified and applied for nonlinear regression function describing the strain rate dependence of material strength at the framework of structure-temporal approach. Ordinary there are few observation points of goal parameter with random noises with unknown statistical distribution, hence this stipulates the choice of SPS-algorithm for this problem. It is proved that SPS-procedure permits to define confidence intervals for dynamic strength parameter tau with proper accuracy in this case. The applicability of this method is demonstrated on example of experimental data treatment of dynamic fracture of a concrete.
引用
收藏
页数:5
相关论文
共 21 条