Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 37, Number 8(1) (2025)
Copyright(C) MYU K.K.
pp. 3399-3418
S&M4125 Research Paper
https://doi.org/10.18494/SAM5632
Published: August 8, 2025

Damage Diagnosis of Prefabricated Beam Bridges via Multisection Quasistatic Strain Response [PDF]

Wei Shu, Xiang Zhou, Litao Yu, Chunbin Yu, Binju Zhang, Faqiang Qiu, and Yang Liu

(Received March 18, 2025; Accepted June 19, 2025)

Keywords: prefabricated beam bridge, damage diagnosis, quasistatic influence line, multisection strain response, DPP-BOTDA distributed optical fiber

Distributed optical fibers can effectively overcome an insufficient number of measuring points in structural health monitoring and provide additional measuring point information. However, under quasistatic working conditions, effective solutions for identifying damage in bridge structures with respect to distributed optical fibers are scarce. To address this problem, a structural damage diagnosis method for prefabricated beam bridges, which combines a quasistatic strain influence line with distributed optical fiber sensing technology, is proposed. First, quasistatic strain influence line data for multiple sections of the main beam structure of a bridge are obtained via differential pulse pair–Brillouin optical time-domain analysis technology. By calculating the correlation matrix of the strain response data of different tests, a damage characteristic matrix is constructed, a null space matrix of the damage characteristic matrix is obtained, a damage diagnosis factor is constructed, and a damage judgment threshold is established. Second, by comparing the damage index with the diagnostic threshold under healthy conditions, the location of multisection structural damage can be determined. Considering that structural damage will cause changes in stiffness, the concept of a “strain response area” is introduced, and a quantitative indicator of structural damage is constructed. Last, the proposed method is verified by constructing a scaled-down test model for the multisection damage diagnosis of bridges.

Corresponding author: Faqiang Qiu and Yang Liu


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Wei Shu, Xiang Zhou, Litao Yu, Chunbin Yu, Binju Zhang, Faqiang Qiu, and Yang Liu, Damage Diagnosis of Prefabricated Beam Bridges via Multisection Quasistatic Strain Response, Sens. Mater., Vol. 37, No. 8, 2025, p. 3399-3418.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Novel Sensors, Materials, and Related Technologies on Artificial Intelligence of Things Applications
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Innovations in Multimodal Sensing for Intelligent Devices, Systems, and Applications
Guest editor, Jiahui Yu (Research scientist, Zhejiang University), Kairu Li (Professor, Shenyang University of Technology), Yinfeng Fang (Professor, Hangzhou Dianzi University), Chin Wei Hong (Professor, Tokyo Metropolitan University), Zhiqiang Zhang (Professor, University of Leeds)
Call for paper


Special Issue on Signal Collection, Processing, and System Integration in Automation Applications
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)
Call for paper


Special Issue on Artificial Intelligence Predication and Application for Energy-saving Smart Manufacturing System
Guest editor, Cheng-Chi Wang (National Sun Yat-sen University)
Call for paper


Special Issue on Advanced Materials and Technologies for Sensor and Artificial- Intelligence-of-Things Applications (Selected Papers from ICASI 2025)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper


Special Issue on Redefining Perception: Applications of Artificial-intelligence-driven Sensor Systems
Guest editor, Pitikhate Sooraksa (King Mongkut’s Institute of Technology Ladkrabang)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.