基于中观结构数值实验的水泥基土岩混合物的渗透性特征和经验预测

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jiang Hai-yan , Wang Sheng-nian , Gao Xinqun , Wu Zhi-jian , Li Mingwei , Gu Leilei
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引用次数: 0

摘要

由于材料组成和结构的影响,水泥基土岩混合物(CSRMs)的渗透特性与均质岩土体存在显著差异,在有限的室内或原位实验数据中总是表现出很大的离散性。本研究利用自主研发的建模技术建立了 CSRM 的随机介观结构模型。通过实验室试验确定了其饱和及非饱和渗流参数。然后,对 CSRMs 的饱和及非饱和渗流进行了数值模拟。研究了岩块含量、出现、形状以及土体和岩块的渗透性差异对其渗透系数的影响。讨论了有关影响因素的经验渗透系数预测公式。结果表明,CSRM 的渗流特性符合达西定律。随着岩块含量的增加,其渗透系数先减小后增大,当岩块含量为 40% 左右时,其渗透系数达到最小值。其渗透系数随岩块倾斜度的增加而增大,随岩块长宽比的增加而减小。当土块和岩块的渗透系数之差超过 1 × 103 时,其渗透系数应主要由渗透系数大的一侧控制。提出了 CSRM 的三种经验渗透率预测公式。该研究可为 CSRM 的渗透认知提供理论和方法参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Permeability characteristics and empirical prediction of cementitious soil rock mixtures based on numerical experiments of mesostructure
Due to material composition and structure effects, the permeability characteristics of cementitious soil rock mixtures (CSRMs) significantly differ from homogeneous rock and soil mass, and the great discreteness in limited indoor or in-situ experimental data has always shown up. This study established the stochastic mesostructure models of CSRMs with a self-developed modeling technology. Their saturated and unsaturated seepage parameters were determined by laboratory tests. Then, saturated and unsaturated numerical seepage simulations of CSRMs were carried out. The influences of rock block content, occurrence, shape, and permeability difference in soil and rock mass on their permeability coefficient were investigated. The empirical permeability coefficient prediction formulas about influencing factors were discussed. The results showed that the seepage characteristics of CSRMs conformed to Darcy’s law. Their permeability coefficient decreased first and then increased with the rock block content, and they achieved the minimum value when it was about 40 %. Their permeability coefficient increased with the rock block inclination and decreased with the aspect ratio of rock blocks. When the difference of soil and rock mass in permeability coefficient exceeded 1 × 103 in magnitude, their permeability coefficient should be mainly controlled by the side with the large permeability. Three empirical permeability prediction formulas for CSRMs were proposed. This study could provide theoretical and methodological references for the permeability cognition of CSRMs.
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来源期刊
Computers and Geotechnics
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.
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