Structural damage identification using magnetostrictive actuators

Ernesto Monaco; Francesco Franco; Leonardo Lecce

doi:10.1117/12.350718

9 June 1999 Structural damage identification using magnetostrictive actuators

Ernesto Monaco, Francesco Franco, Leonardo Lecce

Proceedings Volume 3668, Smart Structures and Materials 1999: Smart Structures and Integrated Systems; (1999) https://doi.org/10.1117/12.350718
Event: 1999 Symposium on Smart Structures and Materials, 1999, Newport Beach, CA, United States

Abstract

In this work an approach to Structural Damage Analysis based on the utilization of actuators made by magnetostrictive materials is presented. New developed magnetostrictive actuators used to vibrate very stiff structures and able to acquire Frequency Response Functions (FRFs) in many points using piezoelectric sensors are the constitutive components of this approach. The numerical elaboration of the FRFs permits to analyze correlation between damaged and integer structures. In this way it is possible to create one or more Damage Indices in order to identify, localize and quantify different kinds of damages simulated on the structure. In particular it has been possible to perform many analyses during experimental tests in many frequency ranges and for different kind of damages. These experiences have led to a Damage Index whose values: (1) show a dependence with the distance between the damage and the sensor by which FRFs have been acquired, (2) increase reducing the distance between the sensor position and the damage location, (3) become higher if the damage extension increases. Furthermore, aim of this paper is to demonstrate and discuss the suitability of magnetostrictive devices for the development of an integrated system devoted to the health monitoring of the structures.

Citation Download Citation

Ernesto Monaco, Francesco Franco, and Leonardo Lecce "Structural damage identification using magnetostrictive actuators", Proc. SPIE 3668, Smart Structures and Materials 1999: Smart Structures and Integrated Systems, (9 June 1999); https://doi.org/10.1117/12.350718

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