About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Fracture and Deformation Across Length Scales: Celebrating the Legacy of William Gerberich
|
| Presentation Title |
Spatial Statistics Framework for Detecting Strain Field Heterogeneity and Damage in Composite Adhesive Joints |
| Author(s) |
Jong-Hwa Ahn, Donggang Yao |
| On-Site Speaker (Planned) |
Jong-Hwa Ahn |
| Abstract Scope |
This study presents a spatial statistics-based approach for interpreting full-field experimental strain data acquired via Digital Image Correlation from single-lap joint specimens composed of M20 plain weave carbon fiber adherends and thermosetting modified epoxy adhesive film (AF-163). These joints exhibit highly heterogeneous and periodic strain fields due to the composite microstructure, joint geometry, and defect presence. Traditional strain field evaluation fails to distinguish between natural heterogeneity and damage-induced anomalies. Here, we apply a Local Moran’s I spatial autocorrelation analysis using a queen-based neighborhood weight matrix to identify statistically significant strain clusters across the bondline and adherends. This spatial framework enables differentiation between microstructure-driven periodic strain regions and geometric or defect-induced strain localization, including in critical transition regions. By interpreting the clustering patterns in terms of intrinsic length scales, this method introduces a quantitative, spatially aware paradigm for evaluating joint integrity and damage precursors in composite bonding systems. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Mechanical Properties, Composites, Other |