Evidence map›Paper›PMID 37112286›Full record

ArticleSensors (Basel, Switzerland)2023

Wave Dispersion Behavior in Quasi-Solid State Concrete Hydration.

Yin Chao Wu, Sanggoo Kang, Yeongseok Jeong, Dafnik Saril Kumar David, Suyun Ham

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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.

  1. 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.

Yin Chao WuDepartment of Civil Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA.
Sanggoo KangSchool of Architecture, Kyungpook National University, Daegu 37224, Republic of Korea.
Yeongseok JeongDepartment of Civil Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-5300-6228
Dafnik Saril Kumar DavidDepartment of Civil Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0009-0004-4324-9495
Suyun HamDepartment of Civil Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-6375-211X

Funding

United States Department of Transportation 22UTA33
6 · The paper itself

Abstract

This paper aims to investigate wave dispersion behavior in the quasi-solid state of concrete to better understand microstructure hydration interactions. The quasi-solid state refers to the consistency of the mixture between the initial liquid-solid stage and the hardened stage, where the concrete has not yet fully solidified but still exhibits viscous behavior. The study seeks to enable a more accurate evaluation of the optimal time for the quasi-liquid product of concrete using both contact and noncontact sensors, as current set time measurement approaches based on group velocity may not provide a comprehensive understanding of the hydration phenomenon. To achieve this goal, the wave dispersion behavior of P-wave and surface wave with transducers and sensors is studied. The dispersion behavior with different concrete mixtures and the phase velocity comparison of dispersion behavior are investigated. The analytical solutions are used to validate the measured data. The laboratory test specimen with w/c = 0.5 was subjected to an impulse in a frequency range of 40 kHz to 150 kHz. The results demonstrate that the P-wave results exhibit well-fitted waveform trends with analytical solutions, showing a maximum phase velocity when the impulse frequency is at 50 kHz. The surface wave phase velocity shows distinct patterns at different scanning times, which is attributed to the effect of the microstructure on the wave dispersion behavior. This investigation delivers profound knowledge of hydration and quality control in the quasi-solid state of concrete with wave dispersion behavior, providing a new approach for determining the optimal time of the quasi-liquid product. The criteria and methods developed in this paper can be applied to optimal timing for additive manufacturing of concrete material for 3D printers by utilizing sensors.

Indexed as

analytical solutionhydrationinhomogenous mediumP-wavesensorssurface wavewave dispersionwave scattering

Identifiers

PMID37112286
PMCPMC10143549

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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.