A monte carlo simulation for discontinuity orientations using bivariate empirical distribution

Jun Zheng, Pinnaduwa Kulatilake, Jianhui Deng, Jinbing Wei

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

There exist some probability distributions for describing rock discontinuity, e.g., Fisher distribution, Bingham distribution, and bivariate normal distribution. But in reality they are not suitable to represent the statistical characteristics of rock discontinuity orientation data in most cases. In such cases one should use the bivariate empirical distributions obtained for the discontinuity orientations in representing the statistical distributions of discontinuity orientations. The paper introduces the empirical bivariate distribution into the Monte Carlo simulation (MSC) of rock discontinuity orientations and develops a corresponding computer code, named as EMCSDO. EMCSDO is a freeware designed for researchers and practicing engineers, and can be easily mastered by them with little computer knowledge. Two examples with satisfactory results are presented to show the validity of the code. The second example also show if a theoretical distribution can be found to fit discontinuity orientations well, we should prefer to use the theoretical distribution to simulate the orientations based on Monte Carlo technique.

Original languageEnglish (US)
Pages (from-to)3922-3929
Number of pages8
JournalYanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering
Volume34
DOIs
StatePublished - Sep 15 2015

Keywords

  • Chi-square test
  • Fitting
  • Joint network
  • Rock mass
  • Rock mecharics
  • Rock structure
  • Stereographic projection

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology
  • Civil and Structural Engineering

Fingerprint Dive into the research topics of 'A monte carlo simulation for discontinuity orientations using bivariate empirical distribution'. Together they form a unique fingerprint.

  • Cite this