Incipient particle motion in the expansion of water-inrush channel by considering the 3D relative exposure degree

IF 5.3 1区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers and Geotechnics Pub Date : 2024-10-18 DOI:10.1016/j.compgeo.2024.106842

J. Wu, G.H. Dai, L.W. Zhang, L. Guo, H. Deng

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引用次数: 0

Abstract

Water inrush is a high-risk disaster in the construction of water-rich tunnels. The loss of particles on the sidewall of the water inrush channel is the key factor. To study the incipient particle motion in the expansion of water-inrush channel by considering the 3D relative exposure degree, the analysis for incipient flow velocity of the water inrush channel is conducted. The BP neural network and triaxial test are used to get the mesoscopic parameters. Through the DEM–CFD coupling, numerical simulation for the incipient particle motion is implemented. The effects of the 3D relative exposure degree on the incipient flow velocity are analyzed. Finally, the incipient flow velocity in the expansion of water inrush channel is verified by the laboratory test and engineering field test. The results show that: (1) the large particles have greater incipient flow velocity; (2) the particles in large dip angle are easier to move; (3) the 3D relative exposure degree of particle conforms to the Weibull distribution and the exponential distribution; (4) the incipient flow velocity of particles is closer to the critical flow velocity of rolling instability; (5) the incipient flow velocity is determined by the particles at the bottom of expansion channel.

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考虑三维相对暴露程度的水流通道扩张过程中的初始颗粒运动

涌水是富水隧道施工中的高风险灾害。颗粒在涌水通道侧壁的损失是关键因素。考虑三维相对暴露程度，研究涌水通道膨胀过程中的初生颗粒运动，对涌水通道的初生流速进行分析。利用 BP 神经网络和三轴试验获得中观参数。通过 DEM-CFD 耦合，对初生颗粒运动进行了数值模拟。分析了三维相对暴露程度对初生流速度的影响。最后，通过实验室试验和工程现场试验验证了水流涌道扩张过程中的初生流速。结果表明(1）大颗粒的初生流速更大；（2）倾角大的颗粒更容易移动；（3）颗粒的三维相对暴露度符合威布尔分布和指数分布；（4）颗粒的初生流速更接近滚动不稳定的临界流速；（5）初生流速由膨胀槽底部的颗粒决定。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers and Geotechnics 地学-地球科学综合

CiteScore

9.10

自引率

15.10%

发文量

438

审稿时长

45 days

期刊介绍： The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.