Evidence map›Paper›PMID 39994202›Full record

ArticleScientific reports2025

Vibration response analysis of simply supported girder bridges using millimeter-wave radar measurements.

Ruixin Jia, Jinxi Long, Fang Dong, Yue Liu, Shangqing Zhu, Gang Cai

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ruixin JiaState Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing, 100124, China.
Jinxi LongState Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing, 100124, China.
Fang DongState Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing, 100124, China.
Yue LiuResearch Institute of Urbanization and Urban Safety, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China. yueliu@ustb.edu.cn.
Shangqing ZhuBeijing Municipal Bridge Maintenance Management Group Co., Ltd, Beijing, 100043, China.
Gang CaiChongqing Qiaoan IoT Technology Co., Ltd, Chongqing, 401135, China.

Funding

Shenzhen Urban Public Safety and Technology Institute, and Key Laboratory of Urban Safety Risk Monitoring and Early Warning, Ministry of Emergency Management, and Shenzhen Science and Technology Program ZDSYS20210929115800001
6 · The paper itself

Abstract

To address the shortcomings of dynamic evaluation methods for simply supported girder bridges under moving loads, as well as the inefficiencies of traditional dynamic load test measurements, which are time-consuming and labor-intensive, this paper proposes a dynamic evaluation method incorporating the contact surface effect of actual wheels. This method refines a vehicle-bridge coupling model and verifies its accuracy through dynamic displacement measurements using millimeter-wave radar, complemented by modal analysis and dynamic load testing. The method also accounts for the effects of bridge deck roughness, vehicle speed, and weight on the impact coefficient of the bridge, comparing these effects with those outlined in the current code. The practical application of this method demonstrates that millimeter-wave radar, as a novel non-contact testing approach, can accurately measure the complex vibrations of bridges. The multi-point contact model predicts vehicle-bridge interactions more precisely than the single-point contact model, particularly under poor bridge deck conditions, with discrepancies between the models reaching up to 9.59% on Class D bridge deck roughness. The current code, which calculates the impact coefficient considering only a single factor, may not accurately reflect the actual impact coefficient of the bridge. In this study, an impact coefficient regression formula is also derived using vehicle speed and bridge deck roughness as independent variables, offering a tool for estimating the impact coefficients of similar bridges.

Indexed as

DeflectionImpact coefficientMillimeter-wave radarVehicle-bridge couplingWheel contact model

Identifiers

PMID39994202
PMCPMC11850898

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.