Evidence map›Paper›PMID 41991988›Full record

ArticleScientific reports2026

A smart compliance validation framework for steel reinforcement in concrete structures using web extension technology.

U Nirmalambal, S Natarajan, J Rajprasad, G K Arunvivek, Abhilash Gogineni, Regasa Yadeta Sembeta

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

U NirmalambalDepartment of Civil Engineering, Meenakshi Sundararajan Engineering College, Chennai, India.
S NatarajanDepartment of Civil Engineering, Madha Engineering College, Chennai, India.
J RajprasadDepartment of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India.
G K ArunvivekDepartment of Civil Engineering, Mohan Babu University, Tirupati, India.
Abhilash GogineniCenter for Promotion of Research, Graphic Era (Deemed to be University), Dehradun, 248002, India.
Regasa Yadeta SembetaDepartment of Civil Engineering, College of Engineering and Technology, Mattu University, Metu, 318, Ethiopia. yadetaregasa@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the construction industry, the manual verification of reinforcement material against the international standard is a critical yet time-consuming and error-prone process. Construction professionals often rely on standard or limiting values as presented in IS and ASTM codes, which not only slow decision-making but also increase the risk of oversight, inconsistency, and misinterpretation. This paper addresses this issue by introducing the Material Standard Compliance Model (MSCM), which automates and streamlines the compliance assessment of reinforcement materials in concrete construction. The MSCM incorporates international standards, computational analysis, and a Chrome-based application to provide real-time verification of material properties, including yield strength, elongation, and elastic modulus. The compliance verification is performed through rule-based checks and fuzzy matching, while analytical modules employ correlation analysis to highlight property trade-offs, particularly the negative correlation (r = − 0.72) between yield strength and ductility.

Indexed as

Chrome extension toolConstruction quality assuranceCorrelation analysisFuzzy matchingReinforcement material compliance

Identifiers

PMID41991988
PMCPMC13247171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.