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Biogeochemical simulation of microbially induced calcite precipitation with Pararhodobacter sp. strain SO1
| Title: | Biogeochemical simulation of microbially induced calcite precipitation with Pararhodobacter sp. strain SO1 |
| Authors: | Akiyama, Masaru Browse this author | | Kawasaki, Satoru Browse this author →KAKEN DB |
| Keywords: | Biocementation | | Biogeochemical simulation | | Microbially induced calcite precipitation | | Numerical analysis | | Ureolytic bacteria |
| Issue Date: | Jun-2019 |
| Publisher: | Springer |
| Journal Title: | Acta geotechnica |
| Volume: | 14 |
| Issue: | 3 |
| Start Page: | 685 |
| End Page: | 696 |
| Publisher DOI: | 10.1007/s11440-019-00784-z |
| Abstract: | Biogrouting is a ground improvement technique, which utilizes microorganisms. The numerical simulation of biogrouting is important to ensure efficient operation and to assess the applicability to the target ground. In this study, we compared syringe-scale biogrouting with biogeochemical simulation. Parameters suitable for practical applications were included. The rate constant and half-saturation constant of the reaction rate law in ureolytic bacteria Pararhodobacter sp. strain SO1, obtained from the simulation based on the urease activity test, were 1x10(-8)mol/mg/s and 0.635M, respectively. To achieve the same mineral precipitation in measurement and simulation, a setting in which only the calcite precipitated was used. In the sequential simulation of the solidification test, a variation in discharged Ca2+ concentration was reproduced by introducing an adjustment index, which considers the microbial biomass contributing to the reaction. Moreover, for the re-injection test, in which microbes were injected again to further improve the biogrout strength, the settings were validated by the sequential simulation followed by predictive simulation on different injection dates. The results indicate that by conducting a biogeochemical simulation of calcite precipitation for biogrouting using ureolytic bacteria, the strength of biogrout can be predicted and managed. |
| Rights: | This is a post-peer-review, pre-copyedit version of an article published in Acta geotechnica. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11440-019-00784-z |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/78323 |
| Appears in Collections: | 工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 川﨑 了
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