• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

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:

A new method with a random multi-scale mechanical model was proposed in the paper to analyze the macro mechanical properties of concrete materials. The method was described to start with the micro-scale of concrete, and the Monte Carlo method was used to generate the random aggregate model of concrete composed of aggregate particles and the mortar matrices. And then, the finite element grid was meshed based on a characteristic unit dimension, and the mesh grid was projected on the established random aggregate model. The mechanical properties of each element were determined by an equivalence method of composite-materials. The macroscopic stress-strain relationship and the deformation of concrete specimen under uniaxial tension based on the Random multi-scale mechanical model were given through the analysis, and the analysis results showed a good agreement with the experiment results. The method proposed in the paper greatly saves computing resources with high efficiency, compared with a micromechanical model.

Keyword:

Glass ceramics Aggregates Mechanical properties Concrete aggregates Concretes Monte Carlo methods Stress-strain curves

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

Reprint Author's Address:

Show more details

Related Keywords:

Source :

Engineering Mechanics

ISSN: 1000-4750

Year: 2011

Issue: SUPPL. 1

Volume: 28

Page: 151-155

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

Online/Total:763/10600960
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.