Evidence map›Paper›PMID 34640703›Full record

ArticleSensors (Basel, Switzerland)2021

Development of Low-Cost Wireless Sensing System for Smart Ultra-High Performance Concrete.

Huy-Viet Le, Tae-Uk Kim, Suleman Khan, Jun-Young Park, Jong-Woong Park, Seung-Eock Kim, Yun Jang, Dong-Joo Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

8 authors.

Huy-Viet LeDepartment of Civil and Environmental Engineering, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143747, Korea.
Tae-Uk KimDepartment of Civil and Environmental Engineering, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143747, Korea.ORCID 0000-0003-4232-820X
Suleman KhanDepartment of Smart Cities, Chung-Ang University, Seoul 06974, Korea.
Jun-Young ParkDepartment of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Korea.
Jong-Woong ParkDepartment of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Korea.
Seung-Eock KimDepartment of Civil and Environmental Engineering, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143747, Korea.ORCID 0000-0002-9170-7276
Yun JangDepartment of Computer Engineering and Convergence Engineering for Intelligent Drone, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143747, Korea.ORCID 0000-0001-7745-1158
Dong-Joo KimDepartment of Civil and Environmental Engineering, Sejong University, 98 Gunja-dong, Gwangjin-gu, Seoul 143747, Korea.ORCID 0000-0001-6373-5803

Funding

National Research Foundation of Korea 2019R1A4A1021702
6 · The paper itself

Abstract

This study proposes the development of a wireless sensor system integrated with smart ultra-high performance concrete (UHPC) for sensing and transmitting changes in stress and damage occurrence in real-time. The smart UHPC, which has the self-sensing ability, comprises steel fibers, fine steel slag aggregates (FSSAs), and multiwall carbon nanotubes (MWCNTs) as functional fillers. The proposed wireless sensing system used a low-cost microcontroller unit (MCU) and two-probe resistance sensing circuit to capture change in electrical resistance of self-sensing UHPC due to external stress. For wireless transmission, the developed wireless sensing system used Bluetooth low energy (BLE) beacon for low-power and multi-channel data transmission. For experimental validation of the proposed smart UHPC, two types of specimens for tensile and compression tests were fabricated. In the laboratory test, using a universal testing machine, the change in electrical resistivity was measured and compared with a reference DC resistance meter. The proposed wireless sensing system showed decreased electrical resistance under compressive and tensile load. The fractional change in resistivity (FCR) was monitored at 39.2% under the maximum compressive stress and 12.35% per crack under the maximum compressive stress tension. The electrical resistance changes in both compression and tension showed similar behavior, measured by a DC meter and validated the developed integration of wireless sensing system and smart UHPC.

Indexed as

damage crack sensorself-damage sensingself-stress sensingsmart ultra-high performance concretestructural health monitoringwireless sensing system

Identifiers

PMID34640703
PMCPMC8512907

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.