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Updated: Oct 8, 2025

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Real-Time Life-Cycle Monitoring of Composite Structures Using Piezoelectric-Fiber Hybrid Sensor Network.

Yinghong Yu1, Xiao Liu1, Jiajia Yan1

  • 1School of Aerospace Engineering, Xiamen University, Xiamen 361105, China.

Sensors (Basel, Switzerland)
|December 28, 2021
PubMed
Summary
This summary is machine-generated.

A new hybrid sensor network monitors carbon fiber-reinforced plastics (CFRPs) throughout their lifecycle. This system effectively tracks manufacturing and detects damage in service, improving structural health monitoring.

Keywords:
composite structureshybrid sensor networkprobability diagnostic imagingprogress of reactionstructural health monitoring

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Area of Science:

  • Materials Science
  • Composite Materials
  • Sensor Technology

Background:

  • Carbon Fiber-Reinforced Plastics (CFRPs) are advanced materials used in various industries.
  • Monitoring the entire lifecycle of CFRPs, from manufacturing to in-service use, is crucial for ensuring structural integrity and performance.
  • Existing monitoring methods may have limitations in capturing critical manufacturing parameters and in-service damage.

Purpose of the Study:

  • To develop an in situ hybrid sensor network for comprehensive lifecycle monitoring of CFRPs.
  • To investigate the capability of embedded piezoelectric sensors for damage identification in CFRPs.
  • To enhance damage localization accuracy using a modified probability diagnostic imaging (PDI) algorithm.

Main Methods:

  • Integration of piezoelectric (PZT) and fiber Bragg grating (FBG) sensors within CFRP structures during manufacturing.
  • In-situ monitoring of resin curing parameters (storage modulus, progress of reaction) using PZT and FBG sensors.
  • Application of a modified PDI algorithm with adaptive parameters for damage detection and localization.

Main Results:

  • The hybrid sensor network successfully monitored CFRP manufacturing, accurately identifying gelation moments.
  • Embedded piezoelectric sensors demonstrated effectiveness in identifying damage within CFRP specimens.
  • The modified PDI algorithm significantly improved damage localization precision, reducing average relative distance error by up to 68.48%.

Conclusions:

  • The developed piezoelectric-fiber hybrid sensor network provides effective whole lifecycle monitoring for CFRPs.
  • The enhanced PDI algorithm offers a precise and reliable method for damage imaging in CFRP structures.
  • This integrated approach enhances the safety and longevity of CFRP components.