Coupled multiphysical model for investigation of influence factors in the application of microbially induced calcite precipitation
作者机构：Gesellschaft für Anlagen-und Reaktorsicherheit(GRS)GGmbHBraunschweig38122Germany Department of Civil EngineeringIndian Institute of Technology MadrasChennai600036India Federal Institute for Geosciences and Natural Resources(BGR)Hannover30655Germany
出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文版）)
年 卷 期：2024年第16卷第6期
页 面：2232-2249页
核心收录：
学科分类：08[工学] 080104[工学-工程力学] 0815[工学-水利工程] 0801[工学-力学（可授工学、理学学位）]
基 金：support from the OpenGeoSys community partially funded by the Prime Minister Research Fellowship,Ministry of Education,Government of India with the project number SB21221901CEPMRF008347
主 题：Multiphysics Microbially induced calcite precipitation(MICP) Coupled thermo-bio-chemo-hydraulic(TBCH) model OpenGeoSys(OGS) Influence factors
摘 要：The study presents a comprehensive coupled thermo-bio-chemo-hydraulic(T-BCH)modeling framework for stabilizing soils using microbially induced calcite precipitation(MICP).The numerical model considers relevant multiphysics involved in MICP,such as bacterial ureolytic activities,biochemical reactions,multiphase and multicomponent transport,and alteration of the porosity and *** model incorporates multiphysical coupling effects through well-established constitutive relations that connect parameters and variables from different physical *** was implemented in the open-source finite element code OpenGeoSys(OGS),and a semi-staggered solution strategy was designed to solve the couplings,allowing for flexible model ***,the developed model can be easily adapted to simulate MICP applications in different *** numerical model was employed to analyze the effect of various factors,including temperature,injection strategies,and application ***,a TBCH modeling study was conducted on the laboratory-scale domain to analyze the effects of temperature on urease activity and precipitated calcium *** understand the scale dependency of MICP treatment,a large-scale heterogeneous domain was subjected to variable biochemical injection *** simulations conducted at the field-scale guided the selection of an injection strategy to achieve the desired type and amount of ***,the study emphasized the potential of numerical models as reliable tools for optimizing future developments in field-scale MICP *** present study demonstrates the potential of this numerical framework for designing and optimizing the MICP applications in laboratory-,prototype-,and field-scale scenarios.
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