Anvil tests are effective for determination of the mechanical delamination strength (MDS) of 2G high temperature superconducting coated conductors (CCs), which has been widely used. However, the discrete property of measurement data makes the MDS of CCs hard to evaluate just from the average and variance. To properly provide an analysis of these discrete experimental data, the three-parameter Weibull distribution analysis along with its reliability function has been adopted, from the criterion of 99% reliability, the obtained MDS is conveniently referred for both engineering test and design. Nevertheless, the stable and reliable Weibull distribution analysis should be based on enough sample capacity and proper anvil size. In this work, the influences of anvil size and sample capacity on the reliability function of Weibull distribution analysis for MDS determination were systematically investigated at 77K. It is found that the minimum of sample capacities for Weibull distribution analysis are different with different anvil sizes. From the aspects of energy dissipation and cost consumption, we recommend the full width size of anvils to be utilized to obtain the justified MDS of CCs without being slitted.

铁砧试验可有效测定已广泛使用的 2G 高温超导涂层导体 (CC) 的机械分层强度 (MDS)。然而，测量数据的离散性使得 CC 的 MDS 很难仅从平均值和方差来评估。为了正确分析这些离散的实验数据，采用了三参数威布尔分布分析及其可靠性函数，从99%的可靠性标准出发，得到的MDS便于工程试验和设计参考。尽管如此，稳定可靠的威布尔分布分析应该基于足够的样本容量和合​​适的砧座尺寸。在这项工作中，在77K下系统地研究了砧座尺寸和样品容量对用于MDS测定的威布尔分布分析的可靠性函数的影响。发现威布尔分布分析的最小样本容量随砧尺寸的不同而不同。从能量耗散和成本消耗方面考虑，我们建议使用砧座的全宽尺寸来获得不切开的CC的合理MDS。