Abstract

In general, CFRP is known as an anisotropic material. Several nondestructive testing methods for estimating the elastic constants of anisotropic materials have been proposed. However, previous methods have required cutting off a portion of the specimen or immersion of the specimen in water. In this study, we investigate a method for estimating the macroscopic elastic constants of CFRP using laser ultrasonic visualization testing and machine learning. The finite element method simulations are performed to verify the validity of the proposed method.

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