Paper Title

REAL TIME CONCRETE QUALITY CONTROL AT SITE USING ARTIFICIAL INTELLIGENCE

Article Identifiers

Registration ID: IJNRD_180963

Published ID: IJNRDA001086

DOI: Click Here to Get

Authors

S.Manikandan , P.Jaya karthikreddy

Keywords

Quality control, Artificial intelligence, Concrete, W/C ratio, Proportion

Abstract

The application of (AI) is extensively useful in various fields of engineering similarly in this project we have planned to reduce the men power and complexity in traditional concrete quality control, it also reduce the time and laboratory setup at site that will contribute high quality concrete with low cost and less time .in this project we are using the sensors to identify the w/c ratio of concrete, cement, sand, aggregate proportion by inserting the sensor stick in to the fresh concrete ,this parameters are taken into consideration for compressive strength calculation and it will show the compressive strength in digital display attached with sensor stick hence it is very useful in mass industrial and residential concreting this is the innovative method in the this field of civil engineering that will create revolution in industry by quick strength calculation

How To Cite (APA)

S.Manikandan & P.Jaya karthikreddy (May-2022). REAL TIME CONCRETE QUALITY CONTROL AT SITE USING ARTIFICIAL INTELLIGENCE. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 602-606. https://ijnrd.org/papers/IJNRDA001086.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 602-606

Other Publication Details

Paper Reg. ID: IJNRD_180963

Published Paper Id: IJNRDA001086

Downloads: 000121980

Research Area: Civil Engineering 

Country: CHENNAI, TIRUVALLUR, TAMIL NADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDA001086.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDA001086

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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