Application of numerical simulation of microbial reaction to biogrout with ureolytic bacteria
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- AKIYAMA Masaru
- Subsurface Environment Project Group, Geoscience Research Laboratory Co., Ltd.
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- KAWASAKI Satoru
- Division of Sustainable Resources Engineering, Faculty of Engineering, Hokkaido University
Bibliographic Information
- Other Title
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- 尿素分解型バイオグラウトへの微生物反応シミュレーションの適用
Abstract
Reproduction of solidification process by biogrout with ureolytic bacteria was conducted using numerical simulation of microbial reaction for contributing to the environmental impact assessment and the proper construction design according to ground conditions in the practical utilization of the biogrout. Based on results of the urease activity measurement, the reaction rate constant and the half saturation concentration in the reproduction analysis was determined to 1×10-8 mol/mg/sec and 0.635 mol/L, respectively. Mineral precipitation in the simulation matched actual mineral precipitation in the syringe-scale solidification test under the constraint condition of calcite precipitation only. Multiple injection procedure of solidification solution contained urea were expressed by setting sequential analysis, in which the initial condition of the current analysis succeeds the amount of calcite in the previous step. In addition to that, the changes of Ca2+ concentration in outlet solution were reproduced by introducing the “adjustment exponent” in consideration of the decrease in the amount of active microorganisms. In that case, the correlation coefficient between the measured and analyzed values was 0.9232. The above results indicate that numerical simulation of microbial reaction related to calcite precipitation can reproduce the reaction process of biogrout with ureolytic bacteria, and can predict the strength development and construction management at the time of biogrout construction.
Journal
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- Japanese Geotechnical Journal
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Japanese Geotechnical Journal 12 (3), 337-349, 2017
The Japanese Geotechnical Society
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Details 詳細情報について
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- CRID
- 1390001205257868288
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- NII Article ID
- 130006108845
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- ISSN
- 18806341
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed