Ring-core few-mode fiber and DPP-BOTDA-based distributed large-curvature sensing eligible for shape reconstruction

Pengbai Xu, Huapeng Guo, Xiaolong Wang, Lei Shen, Kunhua Wen, Yuehui Sun, Dexin Ba, Yongkang Dong, Xinyong Dong, Jun Yang, Yuwen Qin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This study proposes a distributed large-curvature sensor based on ring-core few-mode fiber (RC-FMF) and differential pulse-pair Brillouin optical time-domain analysis (DPP-BOTDA). The RC-FMF is adhered to a thin steel substrate and an asymmetric hump shape is reconstructed using the Frenet-Serret algorithm. The proposed curvature sensor demonstrates a larger curvature-sensing range, excellent tolerance to bending-induced optical loss, and increased Brillouin gain coefficient. The proposed sensor also demonstrates longer sensing distance and continuous absolute measurement compared to other sensors. The proposed model can be applied to the end tracking of soft robotics and structural health monitoring of civil infrastructures.

Original languageEnglish
Pages (from-to)42553-42563
Number of pages11
JournalOptics Express
Volume30
Issue number23
DOIs
StatePublished - 7 Nov 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

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