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http://dx.doi.org/10.12989/cac.2017.19.4.413

Concrete crack rehabilitation using biological enzyme  

Chen, How-Ji (Department of Civil Engineering, National Chung Hsing University)
Tai, Pang-Hsu (Department of Civil Engineering, National Chung Hsing University)
Peng, Ching-Fang (Department of Civil Engineering, National Chung Hsing University)
Yang, Ming-Der (Department of Civil Engineering, National Chung Hsing University)
Publication Information
Computers and Concrete / v.19, no.4, 2017 , pp. 413-417 More about this Journal
Abstract
Concrete is a material popularly used in construction. Due to the load-bearing and external environmental factors during utilization or manufacturing, its surface is prone to flaws, such as crack and leak. To repair these superficial defects and ultimately and avoid the deterioration of the concrete's durability, numerous concrete surface protective coatings and crack repair products have been developed. Currently, studies are endeavoring to exploit the mineralization property of microbial strains for repairing concrete cracks be the repairing material for crack rehabilitation. This research aims to use bacteria, specifically B. pasteurii, in crack rehabilitation to enhance the flexural and compression strength of the repaired concrete. Serial tests at various bacterial concentrations and the same $Urea-CaCl_2$ medium concentration of 70% for crack rehabilitation were executed. The results prove that the higher the concentration of the bacterial broth, the greater the amount of calcium carbonate precipitate was induced, while using B. pasteurii broth was for crack rehabilitation. The flexural and compression strengths of the repaired concrete test samples were the greatest at 100% bacterial concentration. Compared to the control group (bacterial concentration of 0%), the flexural strength had increased by 32.58% for 1-mm crack samples and 51.01% for 2-mm crack samples, and the compression strength had increased by 28.58% and 23.85%, respectively. From the SEM and XRD test results, a greater quantity of rectangular and polygonal crystals was also found in samples with high bacterial concentrations. These tests all confirm that using bacteria in crack rehabilitation can increase the flexural and compression strength of the repaired concrete.
Keywords
concrete crack; biological rehabilitation; enzyme; flexural strength; compression strength;
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1 Bachmeier, K.L., Williams, A.E., Warmington, J.R. and Bang, S.S. (2002), "Urease activity in microbiologically-induced calcite precipitation", J. Biotechnol., 93(2), 171-181.   DOI
2 Bang, S.S., Galinat, J.K. and Ramakrishnan, V. (2001), "Calcite precipitation induced by polyurethane-immobilized Bacillus pasteurii", Enzym. Microb. Technol., 28(4), 404-409.   DOI
3 Chen, H.J., Yang, M.D., Tang, C.W. and Wang, S.Y. (2012), "Producing synthetic lightweight aggregates from reservoir sediments", Constr. Build. Mater., 28(1), 387-394.   DOI
4 Da Silva, F.B., De Belie, N., Boon, N. and Verstraete, W. (2015), "Production of non-axenic ureolytic spores for self-healing concrete applications", Constr. Build. Mater., 93, 1034-1041.   DOI
5 De Muynck, W., Cox, K., De Belie, N. and Verstraete, W. (2008), "Bacterial carbonate precipitation as an alternative surface treatment for concrete", Constr. Build. Mater., 22(5), 875-885.   DOI
6 Dick, J., De Windt, W., De Graef, B., Saveyn, H., Van der Meeren, P., De Belie, N. and Verstraete, W. (2006), "Biodeposition of a calcium carbonate layer on degraded limestone by bacillus species", Biodegr., 17(4), 357-367.   DOI
7 Dujc, J., Brank, B., Ibrahimbegovic, A. and Brancherie, D. (2010), "An embedded crack model for failure analysis of concrete solids", Comput. Concrete, 7(4), 331-346.   DOI
8 Nemati, M. and Voordouw, G. (2003), "Modification of porous media permeability, using calcium carbonate produced enzymatically in situ", Enzym. Microb. Technol., 33(5), 635-642.   DOI
9 Ramachandran, S.K., Ramakrishnan, V. and Bang, S.S. (2001), "Remediation of concrete using microorganisms", ACI Mater. J., 98(1), 3-9.
10 Rodriguez-Navarro, C., Rodriguez-Gallego, M., Ben Chekroun, K. and Gonzalez-Munoz, M.T. (2003), "Conservation of ornamental stone by myxococcus xanthus-induced carbonate biomineralization", Appl. Environ. Microb., 69(4), 2182-2193.   DOI
11 Stocks-Fischer, S., Galinat, J.K. and Bang, S.S. (1999), "Microbiological precipitation of $CaCO_3$", Soil Biol. Biochem., 31(11), 1563-1571.   DOI
12 Su, T.C., Yang, M.D., Wu, T.C. and Lin, J.Y. (2011), "Morphological segmentation based on edge detection for sewer pipe defects on CCTV images", Exp. Syst. Appl., 38(10), 13094-13114.   DOI
13 Tang, C.W. (2010), "Hydration properties of cement pastes containing high-volume mineral admixtures", Comput. Concrete, 7(1), 17-38.   DOI
14 Van Tittelboom, K., De Belie, N., De Muynck, W. and Verstraete, W. (2010), "Use of bacteria to repair cracks in concrete", Cement Concrete Res., 40(1), 157-166.   DOI
15 Wang, J.Y., Snoeck, D., Van Vlierberghe, S., Verstraete, W. and De Belie, N. (2014a), "Application of hydrogel encapsulated carbonate precipitating bacteria for approaching a realistic selfhealing in concrete", Constr. Build. Mater., 68, 110-119.   DOI
16 Wang, J.Y., Soens, H., Verstraete, W. and De Belie, N. (2014b), "Self-healing concrete by use of microencapsulated bacterial spores", Cement Concrete Res., 56, 139-152.   DOI
17 Wiktor, V. and Jonkers, H.M. (2011), "Quantification of crackhealing in novel bacteria-based self-healing concrete", Cement Concrete Compos., 33(7), 763-770.   DOI
18 Yang, M.D. and Su, T.C. (2009), "Segmenting ideal morphologies of sewer pipe defects on CCTV images for automated diagnosis", Exp. Syst. Appl., 36(2), 3562-3573.   DOI
19 Yang, M.D. and Su, T.C. (2006), "Automation model of sewerage rehabilitation planning", Wat. Sci. Technol., 54(11-12), 225-232.   DOI
20 Yang, M.D. and Su, T.C. (2008), "Automated diagnosis of sewer pipe defects based on machine learning approaches", Exp. Syst. Appl., 35(3), 1327-1337.   DOI
21 Yang, M.D., Su, T.C., Pan, N.F. and Liu, P. (2011a), "Feature extraction of sewer pipe defects using wavelet transform and co-occurrence matrix", J. Wavel. Multi., 9(2), 211-225.
22 Yang, M.D., Su, T.C., Pan, N.F. and Yang, Y.F. (2011b), "Systematic image quality assessment for sewer inspection", Exp. Syst. Appl., 38(3), 1766-1776.   DOI