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Sign-perturbed sums approach for data treatment of dynamic fracture tests

机译:符号摄动和法用于动态断裂试验的数据处理

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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 τ 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.
机译:符号扰动和(SPS)随机算法适用于动态裂缝测试的数据处理过程。对原始方法进行了修改,并将其应用于描述结构时态方法框架下材料强度的应变率依赖性的非线性回归函数。通常,具有随机噪声且统计分布未知的目标参数的观测点很少,因此这为该问题规定了SPS算法的选择。事实证明,在这种情况下,SPS程序可以为动态强度参数τ定义置信区间。在混凝土动力断裂试验数据处理实例中证明了该方法的适用性。

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