ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete

S. Varadharajan; S. V. Kirthanashri; Mohammad Shahban; Bishnu Kant Shukla; Gaurav Bharti

doi:10.1007/978-981-19-4739-1_31

ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete

S. Varadharajan, S. V. Kirthanashri^*, Mohammad Shahban, Bishnu Kant Shukla, Gaurav Bharti

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Concrete is a popular construction material in developing nations like India. Parameters like compressive, split tensile, and flexural strength are used to assess concrete’s quality. Marble is widely used in India as a construction material. Processing of marble wastes around 30% of this stone. The marble waste powder can be disposed by utilizing it in concrete as a substitute of fine aggregate. Concrete post cracking behaviour has been improved by inclusion of marble and bacterial solution. Experimental data have been collected and used to suggest formulae for estimating concrete strength. The suggested equations correlated well with the experimental findings, demonstrating their accuracy.

Original language	English
Title of host publication	Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021
Editors	Arvind Kumar Agnihotri, Krishna R. Reddy, H. S. Chore
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	333-339
Number of pages	7
ISBN (Print)	9789811947384
DOIs	https://doi.org/10.1007/978-981-19-4739-1_31
Publication status	Published - 2023
Event	1st Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021 - Jalandhar, India Duration: 19-11-2021 → 20-11-2021

Publication series

Name	Lecture Notes in Civil Engineering
Volume	280
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	1st Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021
Country/Territory	India
City	Jalandhar
Period	19-11-21 → 20-11-21

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering

Access to Document

10.1007/978-981-19-4739-1_31

Cite this

Varadharajan, S., Kirthanashri, S. V., Shahban, M., Kant Shukla, B., & Bharti, G. (2023). ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete. In A. K. Agnihotri, K. R. Reddy, & H. S. Chore (Eds.), Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021 (pp. 333-339). (Lecture Notes in Civil Engineering; Vol. 280). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-4739-1_31

Varadharajan, S. ; Kirthanashri, S. V. ; Shahban, Mohammad et al. / ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete. Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021. editor / Arvind Kumar Agnihotri ; Krishna R. Reddy ; H. S. Chore. Springer Science and Business Media Deutschland GmbH, 2023. pp. 333-339 (Lecture Notes in Civil Engineering).

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title = "ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete",

abstract = "Concrete is a popular construction material in developing nations like India. Parameters like compressive, split tensile, and flexural strength are used to assess concrete{\textquoteright}s quality. Marble is widely used in India as a construction material. Processing of marble wastes around 30% of this stone. The marble waste powder can be disposed by utilizing it in concrete as a substitute of fine aggregate. Concrete post cracking behaviour has been improved by inclusion of marble and bacterial solution. Experimental data have been collected and used to suggest formulae for estimating concrete strength. The suggested equations correlated well with the experimental findings, demonstrating their accuracy.",

author = "S. Varadharajan and Kirthanashri, {S. V.} and Mohammad Shahban and {Kant Shukla}, Bishnu and Gaurav Bharti",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 1st Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021 ; Conference date: 19-11-2021 Through 20-11-2021",

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Varadharajan, S , Kirthanashri, SV, Shahban, M, Kant Shukla, B & Bharti, G 2023, ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete. in AK Agnihotri, KR Reddy & HS Chore (eds), Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021. Lecture Notes in Civil Engineering, vol. 280, Springer Science and Business Media Deutschland GmbH, pp. 333-339, 1st Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021, Jalandhar, India, 19-11-21. https://doi.org/10.1007/978-981-19-4739-1_31

ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete. / Varadharajan, S.; Kirthanashri, S. V.; Shahban, Mohammad et al.
Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021. ed. / Arvind Kumar Agnihotri; Krishna R. Reddy; H. S. Chore. Springer Science and Business Media Deutschland GmbH, 2023. p. 333-339 (Lecture Notes in Civil Engineering; Vol. 280).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete

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AU - Bharti, Gaurav

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AB - Concrete is a popular construction material in developing nations like India. Parameters like compressive, split tensile, and flexural strength are used to assess concrete’s quality. Marble is widely used in India as a construction material. Processing of marble wastes around 30% of this stone. The marble waste powder can be disposed by utilizing it in concrete as a substitute of fine aggregate. Concrete post cracking behaviour has been improved by inclusion of marble and bacterial solution. Experimental data have been collected and used to suggest formulae for estimating concrete strength. The suggested equations correlated well with the experimental findings, demonstrating their accuracy.

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Varadharajan S , Kirthanashri SV, Shahban M, Kant Shukla B, Bharti G. ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete. In Agnihotri AK, Reddy KR, Chore HS, editors, Proceedings of Indian Geotechnical and Geoenvironmental Engineering Conference, IGGEC 2021. Springer Science and Business Media Deutschland GmbH. 2023. p. 333-339. (Lecture Notes in Civil Engineering). doi: 10.1007/978-981-19-4739-1_31

ANN Model for Prediction of Compressive and Tensile Strength of Bacterial Concrete

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