Integration of sensing networks into laminated composites

Fabrizia Ghezzo; Patrick Rye; Yi Huang; Sia Nemat-Nasser

doi:10.1117/12.776341

2 April 2008 Integration of sensing networks into laminated composites

Fabrizia Ghezzo, Patrick Rye, Yi Huang, Sia Nemat-Nasser

Proceedings Volume 6929, Behavior and Mechanics of Multifunctional and Composite Materials 2008; 69290V (2008) https://doi.org/10.1117/12.776341
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

Abstract

We summarize the methodology that we have used to address integrating sensing network into composite materials for structural self diagnosis. First, we have examined the effect of stress concentration that arises due to the embedment of sensors and external devices on the strength and endurance of laminated glass fiber composites. To analyze the mechanical response of the composite material under study subjected to in-plane or impact loads, we have fabricated a series of samples, with and without embedded (dummy) sensors/micro-processors, using S2 glass fiber/epoxy, and have characterized their response by acoustic emission. Guided by the corresponding results, we can select sensors and other necessary components in such way as to minimize the impact of the embedded electronics on the material integrity and, at the same time, to implement acoustic sensing monitoring functionalities within the material. A 4-tree hierarchical network of PVDF sensors capable of acquiring signals typically related to resin micro cracking phenomena has been developed and partially integrated into a cross ply laminate. The achieved results and ongoing research will be discussed.

Citation Download Citation

Fabrizia Ghezzo, Patrick Rye, Yi Huang, and Sia Nemat-Nasser "Integration of sensing networks into laminated composites", Proc. SPIE 6929, Behavior and Mechanics of Multifunctional and Composite Materials 2008, 69290V (2 April 2008); https://doi.org/10.1117/12.776341

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available