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ANN-Based Model to Forecast the Compressive Strength Based on the Properties of Fresh Concrete

Dangi, Yash / Verma, Sanjeev Kumar

Researchers are working on determining the influence of fresh concrete properties on the characteristics strength and performance of concrete. According to different codes of practices, compressive strength reflects the quality of concrete significantly. In the present work, an artificial neural network model is developed to forecast the strength of concrete based on cement-to-aggregate ratio, water–cement ratio, and workability of the concrete.

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ANN-Based Model to Forecast the Compressive Strength Based on the Properties of Fresh Concrete

Dangi, Yash / Verma, Sanjeev Kumar

Researchers are working on determining the influence of fresh concrete properties on the characteristics strength and performance of concrete. According to different codes of practices, compressive strength reflects the quality of concrete significantly. In the present work, an artificial neural network model is developed to forecast the strength of concrete based on cement-to-aggregate ratio, water–cement ratio, and workability of the concrete.

ANN-Based Model to Forecast the Compressive Strength Based on the Properties of Fresh Concrete

Dangi, Yash / Verma, Sanjeev Kumar

Researchers are working on determining the influence of fresh concrete properties on the characteristics strength and performance of concrete. According to different codes of practices, compressive strength reflects the quality of concrete significantly. In the present work, an artificial neural network model is developed to forecast the strength of concrete based on cement-to-aggregate ratio, water–cement ratio, and workability of the concrete.

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Title:

ANN-Based Model to Forecast the Compressive Strength Based on the Properties of Fresh Concrete

Additional title:

Lecture Notes in Civil Engineering

Contributors:

Pathak, Krishna Kant (editor) / Bandara, J. M. S. J. (editor) / Agrawal, Ramakant (editor) / Dangi, Yash (author) / Verma, Sanjeev Kumar (author)

Conference:

International Conference on Recent Advances in Civil Engineering ; 2022

Published in:

Latest Developments in Civil Engineering ; Chapter: 55 ; 735-739

Lecture Notes in Civil Engineering ; 352

Publication date:

2023-10-03

Size:

5 pages

ISBN:

978-981-99-2676-3 , 978-981-99-2675-6

ISSN:

2366-2565 , 2366-2557

DOI:

https://doi.org/10.1007/978-981-99-2676-3_55

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

Artificial neural network , Compressive strength , Fresh concrete properties , Hardened concrete Engineering , Civil Engineering , Geoengineering, Foundations, Hydraulics , Building Construction and Design

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