Modelling the Permeation Properties of Self-Compacting Concrete Incorporating Sporocarcina Pasteuri

Document Type : Original Article


1 Department of Civil Engineering, College of Engineering, Joseph Saawuan Tarka University Makurdi, Nigeria.

2 Department of Civil Engineering, Ahmadu Bello University Zaria, Nigeria.


The face of concreting has been revolutionized with the development of self-compacting concrete, the introduction of Microbial Induced Calcite Precipitation (MICP) in concrete as well as the use of secondary cementitious materials in concrete, as it helps to improve the pore characterization of the concrete by the filling of the pore spaces and hence enhance its porosity and durability. The use of these revolutionary concrete however requires the optimization of the constituents and/or additives to concrete in order to maximize the properties thereof. There is thus a need to arrive at optimal materials quantities that can maximize the porosity characterization of the concrete without recourse to many trial and error experimentations that are both time and resources consuming. The application of modelling tools in concrete technology aids in the optimization of concrete constituents for optimal self-compacting concrete performance. In this research linear optimization models for predicting the water absorption and sorptivity of the Bio- self-compacting concrete incorporating sporosarina Pasteurii at different bacterial cell density and nutrient content with respect to age of concrete were developed for these concrete properties at 7 and 28 days with the bacterial concentration and calcium calcite content as the independent variables and water absorption and sorptivity as dependent variables; and the developed models validated using experimental data in DataFit Software. Results obtained showed that the developed linear models which took the quadratic form y(x)=a_1+a_2 x+a_3 x^2+⋯+a_n x^(n-1) were adequate for the prediction and optimization of the water absorption and sorptivity of the bio- self-compacting concrete.


Main Subjects

Copyright © 2023 Kumator J. Taku. This is an open access paper distributed under the Creative Commons Attribution License. Journal of Civil Engineering and Materials Application is published by Pendar Pub; Journal p-ISSN 2676-332X; Journal e-ISSN 2588-2880.

[1] Al-Rubaye MM. Self-compacting concrete: Design, properties and simulation of the flow characteristics in the L-box (Doctoral dissertation, Cardiff University). 2016, UK pp 3. [View at Google Scholar]; [View at Publisher].
[2] Vahabi A, Noghabi KA, Ramezanianpour AA. Application of Biotechnology-Based Method for Ehancing Concrete Properties. Journal of Medical and Bioengineering (JOMB) Vol. 2012 Sep;1(1). [View at Google Scholar]; [View at Publisher].
[3] Irwan JM, Teddy T. An overview of bacterial concrete on concrete durability in aggressive environment. Pertanika J Sci Technol. 2017 May 1;25:259-64. [View at Google Scholar]; [View at Publisher].
[4] Ramachandran SK, Ramakrishnan V, Bang SS. Remediation of concrete using microorganisms. Materials Journal. 2001 Jan 1;98(1):3-9. [View at Google Scholar]; [View at Publisher].
[5] Thakur A, Phogat A, Singh K. Bacterial concrete and effect of different bacteria on the strength and water absorption characteristics of concrete: a review. International Journal of Civil Engineering and Technology. 2016 Sep;7(5):43-56. [View at Google Scholar]; [View at Publisher].
[6] De Muynck W, Boon N, De Belie N. From lab scale to in situ applications: the ascent of a biogenic carbonate based surface treatment. InXIII International Conference on Durability of Building Materials and Components (XIII DBMC) 2014 (pp. 728-735). [View at Google Scholar]; [View at Publisher].
[7] Erşan YÇ, Verbruggen H, De Graeve I, Verstraete W, De Belie N, Boon N. Nitrate reducing CaCO3 precipitating bacteria survive in mortar and inhibit steel corrosion. Cement and Concrete Research. 2016 May 1;83:19-30. [View at Google Scholar]; [View at Publisher].
[8] Taku KJ, Amartey YD, Ejeh SP, Lawan A. Properties of Calcined Clay and Limestone Powder Blended Bio-Self Compacting Concrete. Journal of Civil Engineering & Materials Application. 2022 Dec 1;6(4).View at Google Scholar]; [View at Publisher].
[9] Serraye M, Boukhatem B, Kenai S. Artificial neural network-based prediction of properties of self-compacting concrete containing limestone powder. Asian Journal of Civil Engineering. 2022 Sep;23(6):817-39. [View at Google Scholar]; [View at Publisher].
[10] Mondal S, Ghosh AD. Response Surface Methodology-Based Optimization of Bacterial Cell Concentration for Microbial Concrete. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2022 Apr;46(2):1087-102. [View at Google Scholar]; [View at Publisher].
[11] Algaifi HA, Alqarni AS, Alyousef R, Bakar SA, Ibrahim MW, Shahidan S, Ibrahim M, Salami BA. Mathematical prediction of the compressive strength of bacterial concrete using gene expression programming. Ain Shams Engineering Journal. 2021 Dec 1;12(4):3629-39. [View at Google Scholar]; [View at Publisher].
[12] Rajakarunakaran SA, Lourdu AR, Muthusamy S, Panchal H, Alrubaie AJ, Jaber MM, Ali MH, Tlili I, Maseleno A, Majdi A, Ali SH. Prediction of strength and analysis in self-compacting concrete using machine learning based regression techniques. Advances in Engineering Software. 2022 Nov 1;173:103267. [View at Google Scholar]; [View at Publisher].
[13] Astm C. 1585–13 “Standard test method for measurement of rate of absorption of water by hydraulic cement concrete”. West Conshohocken, PA. 2013. [View at Google Scholar]; [View at Publisher].
[14] BS 1881-125, Testing concrete. Methods for mixing and sampling fresh concrete in the laboratory, BSI London, 2013. [View at Publisher].
[15] EFNARC, The European Guidelines for Self Compacting Concrete Specification, Production and Use, (2005). [View at Publisher].