Evidence map›Paper›PMID 36433306›Full record

ArticleSensors (Basel, Switzerland)2022

Application of Edge Computing in Structural Health Monitoring of Simply Supported PCI Girder Bridges.

Yi-Ching Lin, Chin-Yu Hsiao, Jian-Hua Tong, Chih-Pin Liao, Shin-Tai Song, Hsin-Chu Tsai, Jui-Lin Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yi-Ching LinDepartment of Civil Engineering, National Chung Hsing University, 145 Xingda Rd., South Dist., Taichung 402, Taiwan.ORCID 0000-0002-5533-4249
Chin-Yu HsiaoDepartment of Civil Engineering, National Chung Hsing University, 145 Xingda Rd., South Dist., Taichung 402, Taiwan.
Jian-Hua TongDepartment of Computer Science and Information Engineering, Hungkuang University, No. 1018, Sec. 6, Taiwan Boulevard, Shalu District, Taichung 433, Taiwan.
Chih-Pin LiaoThe Second Maintenance Office, Directorate General of Highways, No. 127, Daquan St., West Dist., Taichung 403, Taiwan.
Shin-Tai SongDepartment of Civil Engineering, National Chung Hsing University, 145 Xingda Rd., South Dist., Taichung 402, Taiwan.
Hsin-Chu TsaiChina Engineering Consultants, Inc., Floor 28, No. 185, Section 2, Sinhai Road Da-an Dist., Taipei City 106, Taiwan.
Jui-Lin WangChina Engineering Consultants, Inc., Floor 28, No. 185, Section 2, Sinhai Road Da-an Dist., Taipei City 106, Taiwan.

Funding

China Engineering Consultants, Inc. 08924
6 · The paper itself

Abstract

This study proposes an innovative method for structural health monitoring of simply supported PCI girder bridges based on dynamic strain and edge computing. Field static and dynamic load tests were conducted on a bridge consisting of a span with newly replaced PCI girders and numerous spans with old PCI girders. Both the static and dynamic test results showed that the flexural rigidity of the old PCI girders decreased significantly due to deterioration. To improve the efficiency of on-site monitoring data transmission and data analysis, this study developed a smart dynamic strain gauge node with the function of edge computing. Continuous data with a sampling frequency of 100 Hz were computed at the sensor node. Among the computed results, only the maximum dynamic strain data caused by the passage of the heaviest vehicle within 1 min were transmitted. The on-site monitoring results indicated that under routine traffic conditions, the dynamic strain response of the new PCI girder was smaller than that of the deteriorated PCI girder. When the monitored dynamic strain response has a tendency to magnify, attention should be paid to the potential prestress loss or other deterioration behaviors of the bridge.

Indexed as

AlgorithmsMathematical Computingdynamic strainsedge computingflexural rigidityprestressed concrete I girdersstructural health monitoring

Identifiers

PMID36433306
PMCPMC9698580

What OpenQuestion holds

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LicenceCC BY
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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.