Microbially induced carbonate precipitation (MICP) has attracted attention as a novel soil-improvement technique. The precipitation and growth of calcium carbonate on the surface of sand and in its pores can be simulated using the recently proposed numerical simulation techniques. However, these simulations have not incorporated certain parameters, such as electrical properties and adsorption. The current study proposes a novel coupling system that considers the adsorption of microorganisms and dissolved ions due to the weak electrostatic field generated on the surface of sand. Additionally, the Michaelis–Menten model was introduced into the system for the enzymatic reaction of ureolytic bacteria, the Monod model for bacterial growth, and a chemotaxis model. To validate the proposed simulation model, previously reported experimental and computational results were compared with the suggested simulation results. Consequently, the calcium carbonate precipitation obtained with the simulation model was 0.335 μmol/mm³ at 10.3 h, which is close to that obtained by the experiment of 0.315 μmol/mm³. Moreover, the spatial distribution of calcium carbonate was consistent with the precipitation pattern of the active bonding structure obtained by the traditional experiment.

微生物诱导碳酸盐沉淀（MICP）作为一种新型土壤改良技术引起了人们的关注。可以使用最近提出的数值模拟技术来模拟碳酸钙在沙子表面及其孔隙中的沉淀和生长。然而，这些模拟没有包含某些参数，例如电性能和吸附。目前的研究提出了一种新的耦合系统，该系统考虑了由于沙子表面产生的弱静电场而对微生物和溶解离子的吸附。此外，系统还引入了 Michaelis-Menten 模型用于尿素分解细菌的酶促反应、用于细菌生长的 Monod 模型和趋化性模型。为了验证所提出的仿真模型，先前报道的实验和计算结果与建议的模拟结果进行了比较。因此，用模拟模型得到的碳酸钙沉淀为 0.335 μmol/mm^{3在 10.3 h 时，与实验得到的 0.315 μmol/mm 3}接近。此外，碳酸钙的空间分布与传统实验得到的活性键结结构的析出规律一致。