Abstract

In this paper, a mathematical model is developed to predict the fly-ash brick compressive strength using three easily measurable parameters such as water absorption, initial rate of absorption, and dry density. This model will provide first-hand knowledge on the strength and quality of bricks at the construction site without the need for any large testing equipment. Additionally, an empirical model is proposed to predict the compressive strength of fly-ash brick masonry. Both proposed models are validated using the experimental results reported in the previous literature. These models can be used to standardize the quality control of fly-ash brick and its masonry at the construction site.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

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Go to Practice Periodical on Structural Design and Construction
Practice Periodical on Structural Design and Construction
Volume 27Issue 2May 2022

History

Received: Jun 23, 2021
Accepted: Jan 11, 2022
Published online: Feb 25, 2022
Published in print: May 1, 2022
Discussion open until: Jul 25, 2022

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Peri Raghava Ravi Teja [email protected]
Formerly, M.Tech. Scholar, Dept. of Civil Engineering, National Institute of Technology Rourkela, Rourkela, Odisha 769008, India. Email: [email protected]
Santosini Sahu [email protected]
Ph.D. Scholar, Dept. of Civil Engineering, National Institute of Technology Rourkela, Rourkela, Odisha 769008, India. Email: [email protected]
Professor, Dept. of Civil Engineering, National Institute of Technology Rourkela, Rourkela, Odisha 769008, India (corresponding author). ORCID: https://orcid.org/0000-0003-1031-4479. Email: [email protected]
Assistant Professor, Dept. of Civil Engineering, National Institute of Technology Calicut, Kozhikode, Kerala 673601, India. ORCID: https://orcid.org/0000-0001-6281-5393. Email: [email protected]

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  • Effect of the Partial Replacement of Cement with Waste Granite Powder on the Properties of Fresh and Hardened Mortars for Masonry Applications, Materials, 10.3390/ma15249066, 15, 24, (9066), (2022).

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