Numerical evaluation of a damage detection method for composite plates using Lamb wave response with piezoelectric transducers

• Ano de defesa: 2019
• Autor(a) principal: Bustamante, Luis Eduardo Jaramillo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: damage detection; detecção de dano; Hilbert-Huang Transform; Lamb waves; laminados de compósito; laminated carbon fiber reinforced composite; monitoramento da saúde estrutural; ondas Lamb; structural health monitoring; Transformada de Hilbert-Huang
• Link de acesso: https://www.teses.usp.br/teses/disponiveis/18/18148/tde-09052024-171711/

When compared to metals, composite materials exhibit superior structural performance due to their higher Stiffness-to-weight ratio and corrosion resistance, becoming attractive for their application in aerospace structures. However, the economic impact of their rigorous preventive maintenance, required due to their complex damage mechanics, hinders a more extensive use of these materials; one of such failure modes is delamination. In this regard, the use of Lamb wave active response through the employment of piezoelectric transducers for feature detection in composites is a hot research topic nowadays. In this work, a model for the acoustic detection of delamination along a line of piezo transducers is proposed. The methodology utilizes time-domain processing techniques and is numerically assessed for a set of bidirectional laminated composites with different delaminations. The model proposed detects the existence of stiffness discontinuities, which can be attributed to damage, by processing signals through the Hilbert-Huang Transform and then it quantifies it by using the magnitude and times of flight of the Antisymmetric Lamb wave propagation mode extracted from the voltage response data. In the numerical studies, the model achieves reliable damage detection and gives reasonable accuracy as localizes it and quantifies its extension with conservative estimations, thus encouraging its extension for future works