土工基础

土工基础 ›› 2023, Vol. 37 ›› Issue (3): 501-505.

• 测试技术 • 上一篇    下一篇

软土蠕变颗粒流宏细观参数特征及标定方法

付旭，侯定贵，李茜，王林台，刘晓立   

  1. （北华航天工业学院 建筑工程学院 纪检监察室，河北廊坊 065000）
  • 收稿日期:2022-01-14 修回日期:2022-01-23 出版日期:2023-06-30 发布日期:2023-07-06
  • 作者简介:付旭（1982-），男，副教授，研究方向为环境岩土与地下工程中的多场耦合理论、风险管理与智能设计方法。
  • 基金资助:
    基金项目：河北省高等学校科学技术研究项目（QN2017003）；河北省建设科技研究指导性计划项目（20182051）；廊坊市科技技术研究与发展计划自筹经费项目（2020011053；2021011049）

Characteristics Between Macro-Meso Parameters and Calibration Method of Soft Soil Creep Particle Flow

FU Xu, HOU Dinggui, LI Qian, WANG Lintai， LIU Xiaoli   

  1. (Department of Architectural Engineering, Discipline Inspection Office, North China Institute of Aerospace Engineering, Langfang 065000)
  • Received:2022-01-14 Revised:2022-01-23 Online:2023-06-30 Published:2023-07-06

摘要： 能否正确揭示宏细观力学参数间的关系及合理确定细观参数是颗粒流数值模拟的关键。通过PFC3D建立软土三轴压缩数值模型，采用正交试验设计对Burgers接触模型的宏细观参数之间的特征关系进行研究。结果表明：胡克弹簧刚度Ek、Em是影响软土变形特性的显著性因素，主要控制割线变形模量E50；摩擦因数f和Em是影响软土强度特性的显著性因素，主要控制最大剪切强度qf，割线变形模量E50与胡克弹簧刚度Ek呈负相关关系，与胡克弹簧刚度Em呈正相关关系，最大剪切强度qf与胡克弹簧刚度Em呈负相关，与摩擦因子f呈正相关；建立了以宏观参数为因变量，细观参数为自变量的线性回归关系式，通过该关系式的反演结果，进行三轴压缩数值试验并获得宏观力学参数，与宏观试验数据结果相比误差小于10%。


关键词: 颗粒流, Burgers接触模型, 正交试验, 三轴压缩试验, 宏细观参数

Abstract: The key to the numerical simulation of the particle flow is to reveal the relationship between macro and meso mechanical parameters correctly and determine the meso parameters reasonably. The numerical tests of soft soil triaxial compression were established by the PFC3D software. Based on the results of macro-triaxial tests, the characteristic relationship between macro-meso parameters of the Burgers contact model was studied throughout the orthogonal test design. The results show that the stiffness Ek and Em of Hooker spring are the significant factors that affecting the deformation characteristics of the soft soil that mainly control the secant deformation modulus E50; The friction factors f and Em are significant factors that affecting the strength characteristics of the soft soil, which mainly controlling the maximum shear strength qf; The E50 is negatively correlated with Ek and positively correlated with Em, qf is negatively correlated with Em and positively correlated with the friction factor f. A linear regression relationship with macroscopic parameters as dependent variables and meso parameters as independent variables was established. The results of the inversion were used to perform the triaxial compression numerical tests and obtain macroscopic mechanical parameters. The errors were less than 10% compared with laboratory test results.


Key words: Particle Flow Code, Burgers Contact Model, Orthogonal Tests, Triaxial Compression Tests, Macro and Meso Parameters

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