Evidence map›Paper›PMID 38793477›Full record

ReviewMaterials (Basel, Switzerland)2024

Exploring the Potential of Promising Sensor Technologies for Concrete Structural Health Monitoring.

Fatheali A Shilar, Sharanabasava V Ganachari, Veerabhadragouda B Patil, T M Yunus Khan, Abdul Saddique Shaik, Mohammed Azam Ali

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Fatheali A ShilarDepartment of Civil Engineering, Jain College of Engineering, Belagavi 590001, Karnataka, India.ORCID 0000-0003-2885-932X
Sharanabasava V GanachariCenter for Energy and Environment, School of Advanced Science, KLE Technological University, Hubballi 580031, Karnataka, India.ORCID 0000-0002-9895-1829
Veerabhadragouda B PatilInstitute of Energetic Materials, Faculty of Chemical Technology, University of Pardubice, 53210 Pardubice, Czech Republic.ORCID 0000-0001-9410-6524
T M Yunus KhanResearch Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia.ORCID 0000-0002-9242-7591
Abdul Saddique ShaikDepartment of Mechanical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
Mohammed Azam AliDepartment of Mechanical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.ORCID 0000-0001-5618-7618

Funding

King Khalid University R.G.P. 2/196/44
6 · The paper itself

Abstract

Structural health monitoring (SHM) is crucial for maintaining concrete infrastructure. The data collected by these sensors are processed and analyzed using various analysis tools under different loadings and exposure to external conditions. Sensor-based investigation on concrete has been carried out for technologies used for designing structural health monitoring sensors. A Sensor-Infused Structural Analysis such as interfacial bond-slip model, corroded steel bar, fiber-optic sensors, carbon black and polypropylene fiber, concrete cracks, concrete carbonation, strain transfer model, and vibrational-based monitor. The compressive strength (CS) and split tensile strength (STS) values of the analyzed material fall within a range from 26 to 36 MPa and from 2 to 3 MPa, respectively. The material being studied has a range of flexural strength (FS) and density values that fall between 4.5 and 7 MPa and between 2250 and 2550 kg/m

Indexed as

concrete sensorscrackdurabilitysteel fiberstructural health monitoring

Identifiers

PMID38793477
PMCPMC11122972

What OpenQuestion holds

Textmetadata
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.