Detection of Single Steel Strand Distribution in Grouting Duct Based on Capacitive Sensing Technique.

Nan Li, Mingchen Cao, Hangben Du, Cunfu He, Bin Wu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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.

Selected Papers from the 9th World Congress on Industrial Process Tomography.Sensors (Basel, Switzerland) · 2019
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

5 authors.

Nan LiSchool of Automation, Northwestern Polytechnical University, Xi'an 710071, China. nan.li@hotmail.co.uk.ORCID 0000-0003-3731-1518

Mingchen CaoState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China. mingchen.cao@stu.xjtu.edu.cn.

Hangben DuSchool of Automation, Northwestern Polytechnical University, Xi'an 710071, China. xiaobendu@mail.nwpu.edu.cn.

Cunfu HeNDT&E Research Centre, Beijing University of Technology, Beijing 100124, China. hecunfu@bjut.edu.cn.

Bin WuNDT&E Research Centre, Beijing University of Technology, Beijing 100124, China. wb@bjut.edu.cn.

Funding

National Natural Science Foundation of China 51475013National Natural Science Foundation of China 51875477

6 · The paper itself

Abstract

Grouting ducts (containing steel strands) are widely used to increase the structural strengths of infrastructures. The determination of the steel strand's integrity inside of ducts and the grouting quality are important for a strength evaluation of the structure. In this study, a capacitive sensing technique was applied to identify the cross-sectional distribution of the steel strands. The distribution was expressed in polar coordinates in an external post-tensioned pre-stressed duct model. An improved capacitive sensor structure was designed, which consisted of four electrodes, and different electrode-pairs were used to determine various locations' information of the steel strands. Two rounds of measurements were conducted using the designed sensor to detect the angle (

Indexed as

capacitive sensorcross section distribution detectinggrouting ductmeasurement

Identifiers

PMID31195659

DOI10.3390/s19112564

PMCPMC6603601

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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.