基于考虑径向渗流的 VOF 多相流的盾构填充灌浆浆液扩散规律研究

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Shuguang Song, Wangtong Lu
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引用次数: 0

摘要

同步注浆技术是盾构隧道施工的一个重要方面。然而,由于其复杂性和隐蔽性,了解这一过程中的泥浆扩散机制具有挑战性。现有的理论模型往往过于简化注浆过程,没有考虑多级扩散机制。通过考虑浆液的径向渗透,并将扩散过程视为通过圆周填充形成环形薄饼,利用 Fluent 软件中的流体体积(VOF)-多相流模型建立了三维扩散数值模型。通过基于理论公式和工程实例监测数据的计算,证实了该模型的有效性。这项研究揭示了浆液扩散的模式,并探讨了孔隙率、灌浆压力和浆液密度等因素对扩散半径和分段应力的影响。研究结果为盾构同步注浆施工提供了重要的理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Study on the Diffusion Law of Shield Filling Grouting Slurry Based on VOF-Multiphase Flow Considering Radial Seepage

Study on the Diffusion Law of Shield Filling Grouting Slurry Based on VOF-Multiphase Flow Considering Radial Seepage

Synchronous grouting technology is a crucial aspect of shield tunnel construction. However, understanding the mechanism of slurry diffusion during this process is challenging due to its complexity and invisibility. Existing theoretical models often oversimplify the grouting process and do not account for multi-stage diffusion mechanisms. By considering the radial penetration of slurry and viewing the diffusion process as the formation of annular pancakes through circumferential filling, a 3D diffusion numerical model is established using the volume of fluid (VOF)-multiphase flow model in Fluent software. The model's validity is confirmed through calculations based on theoretical formulas and monitoring data from engineering examples. This study uncovers the patterns of slurry diffusion and examines how factors like porosity, grouting pressure, and slurry density impact diffusion radius and segment stress. The findings of this research provide a crucial theoretical foundation for shield synchronous grouting construction.

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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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