Evidence map›Paper›PMID 30360503›Full record

ArticleSensors (Basel, Switzerland)2018

Active Thermal Sensing for Bonding Structure Damage Detection of Hidden Frame Glass Curtain Wall.

Xiaobin Hong, Jinfan Lin, Yuan Liu, Weiying Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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

4 authors.

Xiaobin HongSchool of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China. mexbhong@scut.edu.cn.
Jinfan LinSchool of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China. 201430113067@mail.scut.edu.cn.
Yuan LiuSchool of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China. 15270833143@163.com.ORCID 0000-0002-5951-0342
Weiying XuSchool of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China. xuwy@midea.com.

Funding

Foshan Science & Technology project 2016AG100255General Administration Quality Supervision, Inspection and Quarantine of the People's Republic of China Science & Technology project 2017QK064Guangdong Province Science & Technology project 201607010171Guangdong Province Science & Technology project 2016A040403013
6 · The paper itself

Abstract

Adhesive bonded structure damage of hidden frame glass curtain wall will cause falling glass, which threatens the security of people and property. Therefore, the damage detection of the adhesive bonded structure of glass curtain wall has great significance. In this paper, active thermal sensing technology for bonding structure damage detection was introduced. Firstly, the thermal wave propagation of bonded structure was analyzed. Second, the simulated annealing algorithm and TracePro simulation were utilized to design the heat source. Thirdly, the platform of active thermal sensing was built, and experiments were conducted. Finally, image fusion enhancement of Laplacian pyramid was utilized to the enhancement process of thermal images. The simulation results showed that the irradiance of the cross-optimization was more uniform, and the uniformity was 17.50% higher than the original design value. The experiments results showed that defects of different sizes and depths can be distinguished. The gray differences of the damages on the depth of 0 mm and 4 mm were 0.025 and 0.045, respectively. The thermal wave testing can detect damage intuitively and rapidly, which is significant for the future research of unmanned detection of bonding structure damage of hidden frame glass curtain wall.

Indexed as

active thermal sensingbonding structure damagefusion enhancementheating sourcethermal wave testing

Identifiers

PMID30360503
PMCPMC6263633

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.