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Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage.

Ilias N Giannakeas1, Zahra Sharif Khodaei1, M H Ferri Aliabadi1

  • 1Department of Aeronautics, Imperial College London, South Kensington Campus, Exhibition Road, London SW7 2AZ, UK.

Sensors (Basel, Switzerland)
|March 10, 2022
PubMed
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This study presents a framework for estimating the initial investment cost (COTC) and added weight (WAW) of integrating guided waves-based structural health monitoring (SHM) systems into aircraft. Findings reveal a trade-off between cost and weight for different SHM configurations.

Area of Science:

  • Aerospace Engineering
  • Materials Science
  • Structural Health Monitoring (SHM)

Background:

  • Guided waves-based SHM systems offer advantages for the aeronautic sector, including lightweight design, long-range monitoring, and low power requirements.
  • Integrating SHM systems into aircraft necessitates a thorough evaluation of associated costs and weight penalties.

Purpose of the Study:

  • To develop a bottom-up framework for estimating the initial investment cost (COTC) and added weight (WAW) of SHM system integration in aircraft.
  • To analyze different sensorization approaches (wired vs. printed diagnostic film) and data acquisition methods (Manual vs. Remote).

Main Methods:

  • A detailed cost breakdown framework was developed for sensorization activities.
  • The framework considered both fully wired and printed diagnostic film approaches.
Keywords:
SHM system installationadded weightbottom-up cost estimationcomposite fuselage sensorizationcost analysis

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  • Manual and Remote data acquisition configurations were analyzed.
  • Main Results:

    • A case study on a regional aircraft composite fuselage demonstrated a trade-off between COTC and WAW for different SHM options.
    • The Wired-Manual configuration resulted in the lowest COTC but the highest WAW.
    • The diagnostic film with a Remote system configuration yielded the highest COTC and the lowest WAW.

    Conclusions:

    • The developed framework effectively captures the characteristics of various SHM system configurations.
    • These estimations are valuable for cost-benefit analyses to guide the selection of optimal SHM solutions for aircraft.