Topic Editors

Dr. Jian Li
College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China
Dr. Hao Wu
Wuhan National Laboratory for Optoelectronics, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Institute of Applied Physics "Nello Carrara" (IFAC), National Research Council, 50019 Florence, Italy
Dr. Zhe Ma
College of Physics and Optoelectronic Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Dr. Yahui Wang
Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China

Distributed Optical Fiber Sensors

Abstract submission deadline
closed (15 March 2025)
Manuscript submission deadline
15 June 2025
Viewed by
2066

Image courtesy of Dr. Jian Li, Taiyuan University of Technology

Topic Information

Dear Colleagues,

Distributed optical fiber sensors provide a method to measure the physical field of the surrounding environment through the distribution of different parameters, such as temperature, strain, vibration, magnetic and gas sensing, etc. across the sensing fiber. Owing to its detection ability, it has been widely used in micro/nano sensing, medical treatment, corrosive environment detection, pressure sensing in harsh environments, hydrophone sensors, and other security detection fields. Based on the features of fiber scattering, the optical fiber sensing technology can be classified into Rayleigh fiber sensing, Brillouin fiber sensing, and Raman fiber sensing. Among these, the Rayleigh optical fiber sensing is commonly used to detect attenuation characteristics and vibrations (phase optical time domain reflection sensing) of the optical fiber. Brillouin optical fiber sensing can measure the temperature and strain distribution along the optical fiber and can obtain a high spatial resolution for long sensing distances. Raman optical fiber sensing can monitor a large-scale distributed temperature. Therefore, we invite papers on innovative technical developments in addition to reviews, case studies, and analytical and assessment papers from different disciplines that are relevant to the topic of distributed optical fiber sensing.

Dr. Jian Li
Dr. Hao Wu
Dr. Giancarlo C. Righini
Topic Editors

Dr. Zhe Ma
Dr. Yahui Wang
Co-Topic Editors

Keywords

  • distributed optical fiber sensing
  • fiber sensing
  • optical measurement
  • optical device
  • optical sensing

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.5 5.3 2011 18.4 Days CHF 2400 Submit
Optics
optics
1.1 2.2 2020 18.4 Days CHF 1200 Submit
Sensors
sensors
3.4 7.3 2001 18.6 Days CHF 2600 Submit
Materials
materials
3.1 5.8 2008 13.9 Days CHF 2600 Submit
Fibers
fibers
4.0 7.0 2013 21.3 Days CHF 2000 Submit
Photonics
photonics
2.1 2.6 2014 14.9 Days CHF 2400 Submit
Micromachines
micromachines
3.0 5.2 2010 16.2 Days CHF 2100 Submit

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

  1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
  2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
  3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
  4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
  5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (2 papers)

Order results
Result details
Journals
Select all
Export citation of selected articles as:
17 pages, 4908 KiB  
Article
The Enhanced Measurement Method Based on Fiber Bragg Grating Sensor for Structural Health Monitoring
by Shengtao Niu and Ru Li
Micromachines 2025, 16(4), 368; https://doi.org/10.3390/mi16040368 - 24 Mar 2025
Viewed by 326
Abstract
The effective measurement method plays a vital role in the structural health monitoring (SHM) field, which provides accurate and real-time information concerning structural conditions and performance. The innovative measurement approach based on strain sensors, referred to as the inverse finite element method (iFEM), [...] Read more.
The effective measurement method plays a vital role in the structural health monitoring (SHM) field, which provides accurate and real-time information concerning structural conditions and performance. The innovative measurement approach based on strain sensors, referred to as the inverse finite element method (iFEM), has been considered the most promising and versatile technology for meeting the requirements of the SHM system. However, the existing iFEM for shape sensing of thick plate structures has the drawback that the transverse shear effect makes no contribution to the three-dimensional deformation of thick plate structures. Therefore, this study proposed an enhanced inverse finite element method (iFEM) based on single-surface fiber Bragg grating strain sensors for reconstructing thick plate structures coupled with an analytical formulation. The method characterized the explicit relationship between transverse shear and bending displacement field on the mid-plane, which presents the sixth-order differential equation based on a variational approach. The three-dimensional deformation field can be obtained along the thickness direction, expanding the SHM application of iFEM for composite structures based on strain measurement. By performing shape sensing analysis of the thick plate model, the exactness and applicability of the present method are numerically and experimentally validated for different loading cases. Full article
(This article belongs to the Topic Distributed Optical Fiber Sensors)
Show Figures

Figure 1

18 pages, 3026 KiB  
Article
Experimental Study on Monitoring Equipment for the Scouring and Sedimentation of Wharf Bank Slopes Based on Heat Transfer Principles
by Jilong Yin, Huaqing Zhang, Mengmeng Liu and Qian Ma
Sensors 2025, 25(5), 1430; https://doi.org/10.3390/s25051430 - 26 Feb 2025
Viewed by 320
Abstract
The scouring and sedimentation of wharf bank slopes significantly impact port safety and efficiency. To overcome the limitations of existing monitoring technologies in real-time capability, adaptability, and precision, this study introduces an innovative device based on distributed fiber optic sensing technology. By analyzing [...] Read more.
The scouring and sedimentation of wharf bank slopes significantly impact port safety and efficiency. To overcome the limitations of existing monitoring technologies in real-time capability, adaptability, and precision, this study introduces an innovative device based on distributed fiber optic sensing technology. By analyzing changes in the temperature gradient at the water–soil interface, the device enables dynamic monitoring of the results of scouring and sedimentation processes. It employs a modular design, integrating a linear heat source with fiber optic temperature sensing to capture high-resolution changes. Laboratory experiments evaluated variables such as heating duration, pipe material, pipe diameter, and fiber winding pitch. Results show optimal performance with a 20-min heating duration, with PVC sensors offering higher sensitivity and steel sensors providing greater stability. This study presents a high-precision, real-time solution for monitoring wharf bank slopes, offering insights for equipment optimization and engineering applications. Full article
(This article belongs to the Topic Distributed Optical Fiber Sensors)
Show Figures

Figure 1

Back to TopTop