2023 Volume 59 Issue 4 Pages 104-110
A method for estimating the thickness and Young’s modulus of the adhesive layer in an adhesively bonded sandwich beam from the sound caused by an impact was investigated. A method obtained by Mead et al. was applied to the vibration of an adhesive sandwich beam to obtain its eigenfrequencies, and the thickness and modulus of elasticity of the adhesive layer were probabilistically selected to generate many teaching data. A system for inverse estimation of the thickness and Young’s modulus of the adhesive layer from the eigenfrequencies was constructed by machine learning from the teaching data. By inputting the experimental results into this inverse estimation system, the adhesive thickness of the specimens was precisely predicted, but the estimation of Young’s modulus was not precise.
