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Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

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Published on: November 7, 2016

Strain Transfer for Optimal Performance of Sensing Sheet.

Matthew Gerber¹, Campbell Weaver², Levent E Aygun³

¹Departments of Civil and Environmental Engineering, and Electrical Engineering, Princeton University, Princeton, NJ 08544, USA. gerberbeam@gmail.com.

Sensors (Basel, Switzerland)

|June 14, 2018

Summary

This study explores new adhesives for structural health monitoring sensors. A novel adhesive was identified to improve sensor durability and reliability in detecting early-stage structural damage like cracks.

Keywords:

damage detection flexible adhesive large area electronics sensing sheet strain transfer structural health monitoring

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Area of Science:

Materials Science
Structural Engineering
Electronics Engineering

Background:

Large Area Electronics (LAE) and Integrated Circuits (ICs) enable novel sensors for early structural behavior detection.
Current sensing sheets face sensor damage from cracks, limiting crack monitoring capabilities.
Stiff adhesives used for bonding cause premature sensor failure.

Purpose of the Study:

To identify an alternative adhesive for sensing sheets that enhances durability.
To ensure sufficient strain transfer for reliable early-stage crack detection.
To calibrate a sensor sheet prototype with the selected adhesive.

Main Methods:

Investigated alternative adhesives for bonding sensing sheets to steel specimens.
Evaluated adhesive performance based on damage survival and strain transfer capabilities.
Calibrated a sensing sheet prototype with the chosen adhesive.

Main Results:

Identified an adhesive that survives minor damage while maintaining adequate strain transfer.
The new adhesive improves the reliability of early-stage crack detection.
A calibrated sensor sheet prototype is ready for application.

Conclusions:

The selection of an appropriate adhesive is critical for the functionality of sensing sheets.
The developed sensing sheet system offers improved performance for structural health monitoring.
This research paves the way for more robust and reliable crack detection systems.