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Author:

Du, Xiu-Li (Du, Xiu-Li.) (Scholars:杜修力) | Jin, Liu (Jin, Liu.) (Scholars:金浏)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Based on a meso-mechanical model of random aggregate, the mesh grid was partitioned by a characteristic unit scale of the material, and a three-dimensional meso-unit equivalent model was established for the researches on the damage process and macro-mechanical properties of heterogeneous concrete. The nonlinear finite element was used to numerically simulate the propagation process of cracks & fracture configuration and macro-mechanical properties in wet-screened concrete specimen under uniaxial tension /compression and in concrete trisection beams under bending load. The simulation results were compared with the two-dimensional results. It was found that: 1) compared with the plane model, a 3-D model could simulate the damage process of concrete under external loads more realistic, and could describe the macro-properties of heterogeneous concrete more accurate, and the computational results were in a good agreement with the experimental data; 2) the spatial distribution form of aggregate had a great influence on the damage process and damage path, but little impact on the macro elastic modulus and strength of concrete; 3) the method used in the paper had high efficiency, compared with other meso-mechanical models, such as a random aggregate model.

Keyword:

Aggregates Mechanical properties Concrete beams and girders Concrete aggregates Concretes

Author Community:

  • [ 1 ] [Du, Xiu-Li]The Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Jin, Liu]The Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing 100124, China

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Source :

Engineering Mechanics

ISSN: 1000-4750

Year: 2013

Issue: 2

Volume: 30

Page: 82-88

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 22

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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