Coupling simulation of microbially induced carbonate precipitation and bacterial growth using reaction–diffusion and homogenisation systems

Nishimura, Ibuki; Matsubara, Hitoshi

doi:10.1007/s11440-021-01178-w

Cited by 15 publications

(5 citation statements)

References 59 publications

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“…Godoy (2018) found that the longitudinal dispersivity have significant size effects with assuming a liner relationship between the longitudinal dispersivity and the flow velocity [28]. However, the hydrodynamic dispersivity coefficient was mostly taken as the molecular dispersivity coefficient in the simulation of MICP multi-process, the mechanical dispersivity and the effect of the pore tortuosity on the molecular dispersivity were always ignored [23,29,30]. Some scholars have divided hydrodynamic dispersivity into mechanical dispersivity and molecular dispersivity in a more detailed way, but the values of dispersivity are quite different [25,[31][32][33].…”

Section: Plos Onementioning

confidence: 99%

A numerical model of the MICP multi-process considering the scale size

Zhu,

Wang,

Wang

et al. 2024

PLoS ONE

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As an environmentally friendly and controllable technology, Microbially induced carbonate precipitation (MICP) has broad applications in geotechnical and environmental fields. However, the longitudinal dispersivity in MICP multi-process varies with the scale size. Ignoring the effect of the scale size of the research object on the dispersivity leads to the inaccuracy between the numerical model and the experiment data. Thus, this paper has established the relationship between the scale size and the dispersivity initially, and optimized the theoretical system of MICP multi-process reaction. When scale size increases logarithmically from 10−2 m to 105 m, longitudinal dispersivity shows a trend of increasing from 10−3 m to 104 m. The distribution of calcium carbonate is closer to the experimentally measured value when the size effect is considered. After considering the scale size, the suspended bacteria and attached bacteria are higher than the cased without considering the size effect, which leads to a higher calcium carbonate content. Scale has little effect on the penetration law of the suspended bacteria. The maximum carbonate content increases with the increase of the initial porosity, and the average carbonate shows a significant increasing trend with the increase of the bacterial injecting rate. In the simulation of the microbial mineralization kinetic model, it is recommended to consider the influence of the scale size on the MICP multi-process.

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Section: Plos Onementioning

confidence: 99%

A numerical model of the MICP multi-process considering the scale size

Zhu,

Wang,

Wang

et al. 2024

PLoS ONE

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“…T. Zhang and Klapper (2014) developed a pore‐scale model for a single pore in MICP. Recently, Nishimura and Matsubara (2021) developed a direct pore‐scale model for MICP for a single cell with simplified chemistry. There have been other attempts in pore‐scale modeling of not just MICP but enzymatically induced calcium carbonate precipitation (von Wolff et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Direct Pore‐Scale Numerical Simulation of Microbially Induced Calcium Carbonate Precipitation

Razbani

Jettestuen

Røyne

2023

Water Resources Research

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Microbially induced calcium carbonate precipitation (MICP) is a promising method for eco‐friendly solutions in geotechincal engineering. MICP involves highly coupled processes in geochemistry and bacterial metabolism that take place in a porous medium. Advancement of these processes drives calcite crystal growth which leads to a decrease in porosity and permeability of the medium. Mathematical models are being developed and used to predict the fate of system at different conditions. Micro‐scale and local bio‐geochemical evolution and its role on the overall macroscopic fate of MICP needs further investigation. In this work, a pore‐scale reactive transport model of MICP for biocementation is developed in a closed system. MICP is simulated in a sample porous geometry in 2D using a native geochemical solver and a lattice Boltzmann solver that handles diffusive transport. We present reactive‐transport factors to up‐scale pore‐scale effects and quantify the efficiency of MICP at different stages of the process. Our results show that pore‐scale effects on the average concentration of urea and calcium are not significant after the initial 20% of urea have been consumed. On the other hand, the pH evolution in the system is significantly affected by pore‐scale effects. We also explored effects of biomass density and biomass distribution on the reactive transport factors, as well as the effect of the urea to calcium ratio on the resulting crystallization patterns. We found that a higher ratio of rate of ureolysis to rate of precipitation leads to more nucleation sites and more uniform calcite precipitation in the geometry.

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“…Considering the complex biochemical reactions and the multiphysics nature, bio-chemo-hydro-mechanical coupling models have been developed capturing the transportation of bacteria and chemical components in the solutions, the formation of CaCO 3 in the pore space and the elastic mechanical response upon loading. [49][50][51][52] Mechanical constitutive models have been developed, following the work on structural soils, to describe the effects of MICP-induced cementation and its degradation under various loading conditions. 53,54 Specifically, discrete element method (DEM) has been adopted, following the previous work on cemented sand and granular rocks, to model MICP-treated sands with bonds between sand particles or cementing fines around contacting points to characterize the microscopic features, for example, bond breakage, coordination number (CN), force chain, and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…Besides experimental researches, theoretical analyses and numerical investigations have been carried out to quantify the MICP process and the mechanical performance of the MICP‐treated materials. Considering the complex biochemical reactions and the multiphysics nature, bio‐chemo‐hydro‐mechanical coupling models have been developed capturing the transportation of bacteria and chemical components in the solutions, the formation of CaCO 3 in the pore space and the elastic mechanical response upon loading 49–52 . Mechanical constitutive models have been developed, following the work on structural soils, to describe the effects of MICP‐induced cementation and its degradation under various loading conditions 53,54 .…”

Section: Introductionmentioning

confidence: 99%

3D DEM modeling of biocemented sand with fines as cementing agents

Liang

et al. 2022

Num Anal Meth Geomechanics

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Microbially induced calcium carbonate precipitation (MICP) has attracted much attention as a promising green technique for soil improvement. Despite the significance of precipitation pattern in mind, constitutive relations or numerical models considering the finite-strain mechanical effects of the various precipitation patterns are rarely developed. In this paper, we propose a novel 3D DEM modeling scheme by using coarse particles to represent sand grains and fines as cementing agents, to reproduce the various precipitation patterns in MICPtreated sand. Based on the topological relations with adjacent particles and the contribution to the mechanical improvement, the cementing fines are classified into effective, partially effective, surface coating, and pore filling ones. The microstructural characteristics and their evolution upon external loading are investigated quantitatively after a careful calibration and validation. The microstructural variation in experiments can be well reproduced, pinpointing this variation as a possible cause for the fluctuation in experimental data. Massive coating fines are produced accompanying the microstructural degradation, which is initiated by the breakage of effective bonds. The breakage of partially effective bonds may become dominating later in the medium to strong cemented specimens. One weakly cemented specimen shows diffuse failure with simultaneous bond-breakage and friction. In contrast, the medium to strong cemented specimens show localized failure with the dominating mechanism transiting from bond-breakage to friction producing notable pore filling fines. We propose a relation between unconfined compressive strength and the equivalent effective volume fraction of cementing agents normalized by the pretreatment porosity, which reveals the coupling effects of the initial configuration and the precipitation pattern on the mechanical improvement.

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Coupling simulation of microbially induced carbonate precipitation and bacterial growth using reaction–diffusion and homogenisation systems

Cited by 15 publications

References 59 publications

A numerical model of the MICP multi-process considering the scale size

A numerical model of the MICP multi-process considering the scale size

Direct Pore‐Scale Numerical Simulation of Microbially Induced Calcium Carbonate Precipitation

3D DEM modeling of biocemented sand with fines as cementing agents

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