Evidence map›Paper›PMID 37564103›Full record

ArticleAI in civil engineering2023

Condition transfer between prestressed bridges using structural state translation for structural health monitoring.

Furkan Luleci, F Necati Catbas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AI in civil engineering, 2023. 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

2 authors.

Furkan LuleciDepartment of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816 USA.
F Necati CatbasDepartment of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816 USA.ORCID 0000-0001-9255-9976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implementing Structural Health Monitoring (SHM) systems with extensive sensing layouts on all civil structures is obviously expensive and unfeasible. Thus, estimating the state (condition) of dissimilar civil structures based on the information collected from other structures is regarded as a useful and essential way. For this purpose, Structural State Translation (SST) has been recently proposed to predict the response data of civil structures based on the information acquired from a dissimilar structure. This study uses the SST methodology to translate the state of one bridge (

Indexed as

Domain generalizationGenerative adversarial networksPopulation-based structural health monitoringStructural health monitoringStructural state translation

Identifiers

PMID37564103
PMCPMC10411104

What OpenQuestion holds

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LicenceCC BY
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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.