Skip to main navigation Skip to search Skip to main content

Deformed wing shape prediction using fiber optic strain data – ifasd 2017

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

Abstract

This study presents a wing shape prediction technique for high-aspect-ratio wings based on measured strains at multiple sensing stations. For the measurement of strain data, fiber Bragg grating (FBG) sensors are used due to their lightness and excellent multiplexing capability. The strain-displacement transformation (SDT) is formulated based on the curvature function of nonlinear beam. The deformed shape is evaluated by numerical double integration of curvature functions. In the laboratory, the developed technique is applied to a high-aspect-ratio wing in which FBG sensors are attached to the surface of the wing beam. The bending deflections are calculated using the proposed method when the wing is subjected to different static loads. At the same time, finite element analysis (FEA) and a laser displacement sensor (LDS) capture the deflection of the wing to validate the estimated wing shape. For three static loading cases, the estimated results obtained by SDT show good agreements with the reference measurements.

Original languageEnglish
Title of host publication17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017
PublisherInternational Forum on Aeroelasticity and Structural Dynamics (IFASD)
ISBN (Electronic)9788897576280
StatePublished - 2017
Event17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017 - Como, Italy
Duration: 25 Jun 201728 Jun 2017

Publication series

Name17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017
Volume2017-June

Conference

Conference17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017
Country/TerritoryItaly
CityComo
Period25/06/1728/06/17

Keywords

  • Fiber bragg grating (FBG) sensors
  • Large deformation
  • Prediction
  • Shape
  • Strain-displacement transformation (SDT)

Fingerprint

Dive into the research topics of 'Deformed wing shape prediction using fiber optic strain data – ifasd 2017'. Together they form a unique fingerprint.

Cite this