3D particle shape modelling and optimization through proper orthogonal decomposition
作者: Noura OuhbiCharles VoivretGuillaume PerrinJean-Noël Roux
作者单位: 1Engineering and Projects, SNCF-Reseau
2Université Paris Est
刊名: Granular Matter, 2017, Vol.19 (4)
来源数据库: Springer Nature Journal
DOI: 10.1007/s10035-017-0771-0
关键词: Railway ballastShapeCharacterizationModellingProper orthogonal decompositionGenerationStochastic
原始语种摘要: Based on proper orthogonal decomposition (POD), a new method is presented in order to statistically characterize arbitrary particle shapes using an optimal choice of shape functions identified on a set of 1000 digitized railway ballast particles obtained through 3D Scan. The coefficients of the POD expansion enable a description of ballast grains with varying levels of accuracy. On exploiting the knowledge of their statistical distribution we are able, implementing an appropriate multivariate kernel density estimation method, to generate irregular particles with similar morphological features. The description and generation methods are validated by comparing statistical distributions of basic characteristics: surface area, volume, average radius, elongation, flatness, and aspect ratio....
全文获取路径: Springer Nature  (合作)
影响因子:1.504 (2012)

  • shape 形状
  • particle 颗粒
  • geometric 凡何
  • statistical 统计的
  • decomposition 分解
  • ballast 稳定器
  • proper 合适的
  • digitized 数字化
  • polyhedral 多面体的
  • arbitrary 任意的