Stochastic numerical model of stone-based materials with realistic stone-inclusion features

Xiang Wang, Zhengyu Liang, Zhihong Nie, Jian Gong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

36 Citations (Scopus)

Abstract

This paper presents a systematic approach for generating a stochastic model with realistic stone-inclusion features for the numerical simulation of stone-based materials. Firstly, the inverse discrete Fourier transform method is employed to randomly generate realistic stones with predetermined particle shape features. Then, an overlapping detection algorithm is proposed to facilitate random and quick allocation of irregularly shaped stones, considering the stone contents, stone size distributions and stone orientations. Finally, several examples are provided to show that the proposed approach can generate stone-based materials with prescribed stone features in a rapid and precise manner.

Original languageEnglish
Pages (from-to)830-848
Number of pages19
JournalConstruction and Building Materials
Volume197
DOIs
Publication statusPublished - 10 Feb 2019
Externally publishedYes

Keywords

  • Inverse discrete Fourier transform
  • Overlapping detection
  • Particle shape
  • Stochastic model
  • Stone inclusion
  • Stone-based material

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • General Materials Science

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