Calibration of a discrete and distributed fiber-optic-based strain-measuring network for the shape-sensing of a wing model under dynamic loading of a wind tunnel

Shay Shoham, Uri Ben-Simon, Roy Davidi, Clive Florentin, Sagi Sheinkman, Miko Rattner, Maxim Freydin, Iddo Kressel, Daniella H. Rave, Moshe Tur

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fiber-optic-based, real time, dynamic discrete and distributed strain-based shape sensing techniques were applied to a specially designed, rapid prototype wing (made of ULTEM-9085), preparing it for wind tunnel testing. This work describes the calibration methodology of the sensing network, including the accurate spatial mapping of the sensing points with respect to the structure, as well as the network responses to prescribed bending, torsion and impact loading. Much less intrusive than electrical strain gauges, the calibrated fiber-optic sensing network successfully provided real-time tracking of the wing aeroelastic performance in wind tunnel experiments, which culminating in wing flutter.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
Pages1397-1403
Number of pages7
ISBN (Electronic)9781605956015
DOIs
StatePublished - 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: 10 Sep 201912 Sep 2019

Publication series

NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume1

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/TerritoryUnited States
CityStanford
Period10/09/1912/09/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Information Management

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