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Prediction of microbial-induced calcium carbonate precipitation for self-healing cementitious material
Journal article   Open access   Peer reviewed

Prediction of microbial-induced calcium carbonate precipitation for self-healing cementitious material

Hsiao Wei Lee, Seyed Ali Rahmaninezhad, Li Meng, Wil V. Srubar, Christopher M. Sales, Yaghoob (Amir) Farnam, Mija H. Hubler and Ahmad R. Najafi
Cement & concrete composites, v 158, 105945
Apr 2025
url
https://doi.org/10.1016/j.cemconcomp.2025.105945View
Published, Version of Record (VoR) Open Access via Drexel Libraries Read and Publish Program 2025 Open CC BY-NC V4.0

Abstract

Cementitious materials Crack-filling MICCP Self-healing Simulation Ureolysis reaction
Microbial-induced calcium carbonate precipitation (MICCP) is a biomineralization process utilizing microbial metabolic activities to precipitate calcium carbonate (CaCO3). In recent years, there has been increasing interest in the application of MICCP in self-healing cementitious materials. In this research, the chemical and enzyme kinetics of MICCP were numerically modeled, focusing on the ureolytic bacteria responsible for the ureolysis reaction, which facilitates the precipitation of CaCO3. The model considers the growth and decay of bacteria, the ureolysis reaction catalyzed by the urease enzyme of the bacteria, the shift in bicarbonate equilibrium due to pH variation of the solution, and the calcium carbonate precipitation. In the simulation, the concentration of chemicals and bacteria as a function of time was computed. Additionally, the distribution of chemicals due to fluid transport were determined. The capability of the model was demonstrated through several benchmark simulations, including its application in self-healing concrete with a vascularized channel system. Experimental studies were also conducted to first calibrate the model parameters and then validate the model results. The predicted CaCO3 precipitation defines a crack filling ratio, hd, which is discussed in many damage-healing literature. Once the mechanical properties of MICCPs are determined, the strength recovery of self-healing concrete incorporating MICCP can then be further modeled. • This work proposes a MICCP model tailored for self-healing concrete. • The model investigates bacteria growth, ureolysis, pH variations, and CaCO3 precipitation. • Experiments on bacteria growth and electric conductivity tests calibrated model parameters. • Predicted biomass was validated with experimental MICCP results. • Numerical simulations of MICCP in vascularized self-healing concrete were conducted.

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Collaboration types
Domestic collaboration
Web of Science research areas
Construction & Building Technology
Materials Science, Composites
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