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4 janvier 2019

Damage mode identification of adhesive composite joints under hygrothermal environment using acoustic emission and machine learning - ScienceDirect

Damage mode identification of adhesive composite joints under hygrothermal environment using acoustic emission and machine learning - ScienceDirect

This paper studies the hygrothermal aging effect on the damage behaviors of adhesive composite joints by acoustic emission (AE) technique. Tensile tests and AE tests are launched for both non-aging and aging specimens under regular and hygrothermal environments, respectively. The clustering analysis, the time-domain analysis and the frequency-domain analysis are combined to identify various damage modes and to study the hygrothermal aging effect of single-lap joint (SLJ).....