Journal article
Experimental Damage Identification of Carbon/Epoxy Composite Beams Using Curvature Mode Shapes
Structural health monitoring, Vol.3(4), pp.333-353
12/2004
Handle:
https://hdl.handle.net/2376/100741
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.
Metrics
7 Record Views
Details
- Title
- Experimental Damage Identification of Carbon/Epoxy Composite Beams Using Curvature Mode Shapes
- Creators
- Cole S HameyWahyu Lestari - Department of Civil Engineering, The University of Akron, Akron, OH 44325-3905, USAPizhong Qiao - Department of Civil Engineering, The University of Akron, Akron, OH 44325-3905, USAGangbing Song - Department of Mechanical Engineering, University of Houston, Houston, TX 77204-4006, USA
- Publication Details
- Structural health monitoring, Vol.3(4), pp.333-353
- Academic Unit
- Civil and Environmental Engineering, Department of
- Identifiers
- 99900546524801842
- Language
- English
- Resource Type
- Journal article