Experimental Damage Identification of Carbon/Epoxy Composite Beams Using Curvature Mode Shapes

Abstract

Many composite materials and structures are susceptible to defects, which can significantly reduce the strength of structures and may grow to failure. To avoid the catastrophic failure of structures, development of a reliable method of structural health monitoring is one of the most important keys in maintaining the integrity and safety of structures. Dynamic response-based damage detection offers a simple procedure as an alternative to the conventional nondestructive evaluation techniques. However, this technique depends on the quality of measured data for its identification accuracy. In this article, experimental aspects of dynamic response-based damage detection technique on carbon/ epoxy composites are addressed. Smart piezoelectric materials are used as sensors or actuators to acquire the curvature modes of structures. These materials are surface-bonded to the beams. An impulse hammer is used as an actuating source as well. Four types of damage detection algorithms are evaluated for several possible damage configurations with two different excitation sources. The quality of damage identification with the four different detection algorithms is discussed. These experimental damage identification techniques using curvature modes and piezoelectric materials can be effectively used in damage detection and health monitoring of composite structures.

Tabakali Kompozi̇t Bi̇r Ki̇ri̇ş Ve Levhada Hasar Tespi̇ti̇ni̇n Model Tabanli Yapi Sağliği İzleme Tekni̇kleri̇yle Beli̇rlenmesi̇

“…Qiao vd., delaminasyon hasarının doğal frekanslara olan etkilerini incelemek için, sağlıklı ve genişliğin %33'ü delaminasyon barındıran kompozit levhaları deneysel ve nümerik olarak incelemişlerdir [23]. Nümerik sonuçlardan, sağlıklı levha için ilk 4 doğal frekansı, (11,71), (34,35), (67,47) ve (89) Hz şeklinde bulmuşlardır. Delaminasyon içeren levha için ise ilk 4 doğal frekansı, (11,68), (34,27), (69,35) ve (89,56) Hz olarak bulmuşlardır.…”

“…Nümerik sonuçlardan, sağlıklı levha için ilk 4 doğal frekansı, (11,71), (34,35), (67,47) ve (89) Hz şeklinde bulmuşlardır. Delaminasyon içeren levha için ise ilk 4 doğal frekansı, (11,68), (34,27), (69,35) ve (89,56) Hz olarak bulmuşlardır. Aynı şekilde, nümerik simülasyonlarla yapılan başka bir çalışmada, delaminasyon alanının artışı doğal frekansı çok az dahi olsa düşürdüğü belirtilmiştir [15].…”

A Kriging Model Based Finite Element Model Updating Method for Damage Detection

“…Once accumulated to a certain extent, damage can lead to structure failure, resulting in significant loss of life and property [1]. Therefore, how to use effective damage identification methods to monitor and evaluate damage has been a popular topic in engineering.…”

Bayesian model updating approach for experimental identification of damage in beams using guided waves

“…Vibration-based and guided wave techniques in particular have attracted much attention. Vibration-based techniques detect damages using the dynamic characteristics of structures have been extensively studied in the last two decades [8][9][10][11][12] but detection of damage mainly depends on successfully recognising changes in the vibration characteristics of the structures being tested. Guided wave techniques, on the other hand, use mechanical stress waves propagated at ultrasonic frequencies along natural boundaries in the structural material to detect damage using a pulse-echo or pitch-catch configuration of transducers.…”