Evidence map›Paper›PMID 36616995›Full record

ArticleSensors (Basel, Switzerland)2022

Micro-Image Strain Sensing Method for Displacement and Strain Measurement in One United Sensor.

Lixiao Zhang, Xixian Chen, Weijie Li, Botao Xie, Guangyi Zhou, Xuefeng Zhao

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. 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

6 authors.

Lixiao ZhangSchool of Civil Engineering, Dalian University of Technology, Dalian 116024, China.
Xixian ChenSchool of Civil Engineering, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0002-6028-6579
Weijie LiSchool of Civil Engineering, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0002-0344-8981
Botao XieCollege of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, China.
Guangyi ZhouNortheast Branch of China Construction Eighth Engineering Bureau Division Corp, LTD., Dalian 116021, China.
Xuefeng ZhaoSchool of Civil Engineering, Dalian University of Technology, Dalian 116024, China.

Funding

The China Construction Eighth Engineering Division Corp., LTD 2021 Technology R&D Project 20210307
6 · The paper itself

Abstract

Micro-image strain sensing (MISS) is an innovative technology to measure strain within a measurement range of ±8300 microstrains. It has been proved to be effective and satisfy all requirements in the field of structural health monitoring. However, there is still room for improvement and extend the range of measurement. In this paper, an improved method is proposed to increase the measurement range of strain and displacement. Moreover, various tests were conducted to verify the efficiency of the improved method. The results showed that the modified method is efficient and accurate and can be readily used to extend the measurement range of both strain and displacement. This research will likely help stimulate the development of multifunctional sensors to obtain abundant useful information about structures in the field of structural health monitoring. It will allow measuring strain and displacement, which require different levels of accuracy, using one unified sensor.

Indexed as

image processingimproved MISS methodone united sensorstrain and displacementstructural health monitoring

Identifiers

PMID36616995
PMCPMC9824581

What OpenQuestion holds

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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.