Strain transfer function of distributed optical fiber sensors and back-calculation of the base strain field

  • Sangyoung Yoon
  • , Meadeum Yu
  • , Eunho Kim*
  • , Jaesang Yu
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Distributed optical fiber sensors are a promising technology for monitoring the structural health of large-scale structures. The fiber sensors are usually coated with nonfragile materials to protect the sensor and are bonded onto the structure using adhesive materials. However, local deformation of the relatively soft coating and adhesive layers hinders strain transfer from the base structure to the optical fiber sensor, which reduces and distorts its strain distribution. In this study, we analytically derive a strain transfer function in terms of strain periods, which enables us to understand how the strain reduces and is distorted in the optical fiber depending on the variation of the strain field. We also propose a method for back-calculating the base structure’s strain field using the reduced and distorted strain distribution in the optical fiber sensor. We numerically demonstrate the back-calculation of the base strain using a composite beam model with an open hole and an attached distributed optical fiber sensor. The new strain transfer function and the proposed back-calculation method can enhance the strain field estimation accuracy in using a distributed optical fiber sensor. This enables us to use a highly durable distributed optical fiber sensor with thick protective layers in precision measurement.

Original languageEnglish
Article number3365
JournalSensors
Volume21
Issue number10
DOIs
StatePublished - 2021.05.2

Keywords

  • Distributed optical fiber sensor
  • Strain back-calculation
  • Strain transfer function
  • Structural health monitoring

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Chemistry
  • Physics & Astronomy
  • Biological Sciences

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