Estimations of fiber Bragg grating parameters and strain gauge factor using optical spectrum and strain distribution information

C. C. Cheng, Y. L. Lo, W. Y. Li, C. T. Kuo, H. C. Cheng

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

An inverse approach based on an optimization technique is proposed to characterize a fiber Bragg grating (FBG) and the strain gauge factor (GF) when the FBG is bonded on a structure. By bonding an FBG on a substrate and simply straining this FBG into a chirped fiber Bragg grating with a predesignated strain, the proposed method, based on an optimization technique, can be used to reconstruct seven parameters of the FBG from the corresponding reflective spectrum. The parameters identified are the length of an FBG, the grating period, the average refractive index, the index modulation, the apodization coefficient, the starting point bonded on the plate, and the strain GF. The information from the predesignated strain, as well as the measured reflective spectrum, is used as the objective function during the optimal search. As a result, the design sensitivity for the optimal search is much improved compared with the design sensitivity when only the reflective spectrum is used. In particular, the strain GF, which depends on the adhesive, the bonding layer characteristics, etc., can be determined in order to provide a reference for an FBG used as a strain sensor. Results from numerical simulations and experiments show that seven parameters of an FBG can be obtained accurately and efficiently.

Original languageEnglish
Pages (from-to)4555-4562
Number of pages8
JournalApplied optics
Volume46
Issue number21
DOIs
Publication statusPublished - 2007 Jul 20

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Estimations of fiber Bragg grating parameters and strain gauge factor using optical spectrum and strain distribution information'. Together they form a unique fingerprint.

Cite this