Evidence map›Paper›PMID 41381666›Full record

ArticleScientific reports2025

Development of a high-precision nano millimeter-wave radar system for non-contact bridge displacement monitoring.

Min Xiao, Zhixing Han, Jun Yu, Gangzong Xu, Wenju Zhao, Yanqi Wu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Min XiaoJiangxi Communications Investment Group Co., Ltd, Nanchang, 330108, China.
Zhixing HanJiangxi Communications Investment Maintenance Technology Group, Nanchang, 330200, China.
Jun YuJiangxi Communications Investment Group Co., Ltd, Nanchang, 330108, China.
Gangzong XuJiangxi Communications Investment Maintenance Technology Group, Nanchang, 330200, China.
Wenju ZhaoCollege of Civil Engineering and Architecture, Henan University of Technology, Zhengzhou, 450001, China. wenju2020@haut.edu.cn.
Yanqi WuSchool of Civil Engineering, Zhengzhou University, Zhengzhou, 450001, China. yanqiwu@zzu.edu.cn.

Funding

Science and Technology Projects of Jiangxi Provincial Department of Transportation No. 2024ZG021, 2024YB055, 2024JT0018the Key Research and Development and Promotion Special Program of Henan Province 242103810071the Key Research Projects of Henan Higher Education Institutions 26A560021the Postdoctoral Fellowship Program of CPSF GZC20252154
6 · The paper itself

Abstract

Precise displacement monitoring is essential for evaluating the safety and dynamic response of bridge structures under service loads. Conventional techniques, such as displacement gauges and GPS, are often constrained by installation complexity, limited accuracy, and sensitivity to environmental factors. To overcome these limitations, this study introduces a novel non-contact monitoring system based on a 60.25 GHz millimeter-wave radar chip. The system achieves high measurement precision and rapid deployment without direct attachment to the structure. Target indication using mean cancellation and hamming windowing, combined with advanced displacement identification algorithms based on ap-FFT, further enhances measurement precision. Additionally, a customized MATLAB graphical user interface (GUI) was further developed to facilitate real-time data collection and analysis. Rigorous testing commenced with controlled laboratory experiments, followed by validation against measurements from a fixed-action camera for displacement. The system's practicality was validated through field experiments on the Phoenix bridge subjected to live loading, emphasizing its efficacy in real-world scenarios. In field applications, the system demonstrated reliable accuracy, achieving a root mean square error (RMSE) of just 0.02 mm compared to validated measurements. In conclusion, this innovative radar-based system effectively addresses the need for accurate, non-intrusive, and easily deployable methods for evaluating bridge structural behavior. By seamlessly integrating modified radar technology with sophisticated displacement identification algorithms, this system proves its effectiveness across controlled environments and practical field applications.

Indexed as

Bridge displacement monitoringMillimeter-wave radar sensingNon-contact measurementSignal processingStructural health monitoring

Identifiers

PMID41381666
PMCPMC12808659

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.