Uncertainty modeling in the prediction of effective mechanical properties using stochastic homogenization method with application to porous trabecular bone

Khairul Salleh Basaruddin, Naoki Takano, Hikaru Akiyama, Takayoshi Nakano

研究成果: Article査読

13 被引用数 (Scopus)

抄録

A systematic modeling of uncertainty due to image processing, material characteristics and experimental works was developed in order to propose a novel stochastic image-based multi-scale method for heterogeneous media. The effective mechanical properties with application to three porous trabecular bone models were predicted by introducing the correction factor (β) to represent the miscellaneous errors or unknown factors. Finally, the probability density was obtained for the effective mechanical properties, which could evaluate the reliability of scattered experimental results. It has been concluded that variation in effective properties of heterogeneous media can be predicted even when only limited measured values are available by using the present extrapolation technique based on verified simulation results.

本文言語English
ページ(範囲)1250-1256
ページ数7
ジャーナルMaterials Transactions
54
8
DOI
出版ステータスPublished - 2013

ASJC Scopus subject areas

  • 材料科学(全般)
  • 凝縮系物理学
  • 材料力学
  • 機械工学

フィンガープリント

「Uncertainty modeling in the prediction of effective mechanical properties using stochastic homogenization method with application to porous trabecular bone」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル