Finite element modeling of geomaterial using digital image processing and computerized tomography identification

LI Xiao-jun1; ZHANG Jin-fu2; LIU Kai-nian2; ZHANG Xiao-ning3

doi:10.16285/j.rsm.2006.08.020

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Finite element modeling of geomaterial using digital image processing and computerized tomography identification

更新时间：2026-06-25

- Finite element modeling of geomaterial using digital image processing and computerized tomography identification
- Issue 8, Pages: 1331-1334(2006)
- 作者机构：
  
  1. 中国科学院武汉岩土力学研究所
  2. 中铁一局科技部
  3. 华南理工大学交通学院
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2006.08.020
  CLC： TU45
- Published：2006
- 稿件说明：
移动端阅览
[1]李晓军,张金夫,刘凯年,张肖宁.基于CT图像处理技术的岩土材料有限元模型[J].岩土力学,2006(08):1331-1334.

LI Xiao-jun1, ZHANG Jin-fu2, LIU Kai-nian2, et al. Finite element modeling of geomaterial using digital image processing and computerized tomography identification[J]. 2006, (8): 1331-1334.
[1]李晓军,张金夫,刘凯年,张肖宁.基于CT图像处理技术的岩土材料有限元模型[J].岩土力学,2006(08):1331-1334. DOI： 10.16285/j.rsm.2006.08.020.

LI Xiao-jun1, ZHANG Jin-fu2, LIU Kai-nian2, et al. Finite element modeling of geomaterial using digital image processing and computerized tomography identification[J]. 2006, (8): 1331-1334. DOI： 10.16285/j.rsm.2006.08.020.

摘要

提出了一种利用数字图像技术对岩土材料CT图像进行处理的有限元模型方法。该方法建立的有限元模型能充分考虑岩土材料的非均匀性

特别是可以考虑空隙分布对岩土材料力学性质的影响。应用该方法对沥青胶结颗粒材料的劈裂试验进行了数值模拟

结果表明:不同方向拉应力分布不均匀

最大拉应力出现在空隙与颗粒的交界处。

Abstract

A digital CT image processing based finite element method for 2-D mechanical analysis of geomaterials

is put forward.Digital image processing（DIP） is applied to convert computerized tomography（CT） image into a digital form that can be incorporated into finite element modeling.This CT discrimination based finite element modeling is used to analyze mechanical behavior of asphalt concrete indirect tensile test by taking into account the actual inhomogeneities and microstructures

especially voids distributions.The maxium tension stress appeared on the surface between voids and aggregates and the tension stress distribution along the loading axis of the sample is different.

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