Low-cost sensor-based damage localization for large-area monitoring of FRP composites

Author:

Demo Luke BORCID,Tronci Eleonora M,Nieduzak Tymon B,Feng Maria Q,Aitharaju Venkat R

Abstract

Abstract In recent years, there has been growing interest in self-sensing structural materials across research and industry sectors. Detecting and locating structural damage typically requires numerous sensors wired to a data acquisition (DAQ) circuit, rendering implementation impractical in real structures. This paper proposes an innovative, cost-effective sensor network for damage detection and localization in fiber-reinforced polymer composites. The innovation encompasses three key elements: (1) utilizing carbon fiber tows within the composite as piezoresistive sensors, eliminating the need for additional foreign sensor devices; (2) introducing a novel sensor layout wherein sensor tow branches with varied resistance values are connected in parallel, reducing the number of connections to the DAQ circuit and cutting manufacturing costs significantly; (3) developing a practical sensor terminal fabrication technique to minimize manufacturing expenses. The proposed design methodology for the branch resistance values is first validated using a demonstration panel. Subsequently, the overall strategy is assessed by conducting impact tests on carbon and glass fiber-reinforced composite specimens. Results validate the sensor’s ability to accurately detect and locate structural damage.

Funder

Office of Energy Efficiency and Renewable Energy

Publisher

IOP Publishing

Reference46 articles.

1. State of the industry report;Mazumdar,2023

2. Composite market size, share & analysis to 2030,(n.d.)

3. Electric vehicles - north america | market forecast;Statista,2024

4. Price, performance, protection: EV battery enclosures, part 1;Malnati,2022

5. Carbon materials for structural self-sensing, electromagnetic shielding and thermal interfacing;Chung;Carbon,2012

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