Part II of this series builds on the experimental results detailed in Part I (Zhang et al., 2025). This paper conducts an extensive statistical analysis of the high-speed linescan extensometer data collected from diverse materials under dynamic loading conditions. Collaborative efforts among several universities and a material testing lab have allowed for a comprehensive evaluation of the linescan extensometer’s repeatability, reproducibility, and reliability across multiple experimental platforms. Using statistical tools, including Bland-Altman plots and Analysis of Variance (ANOVA), this paper evaluates the linescan extensometer against traditional methods such as 2D Digital Image Correlation (DIC) and one-dimensional wave theory. The findings illustrate that the linescan extensometer not only matches but, in some cases, surpasses the performance of established strain measurement techniques, particularly in terms of operational simplicity and cost-effectiveness. The robust statistical framework and cross-institutional evaluations underscore. the potential of linescan extensometry as a preferred method for dynamic strain measurement in both academic research and practical engineering applications.
