Uncertainty Modeling in the Prediction of Effective Mechanical Properties Using Stochastic Homogenization Method with Application to Porous Trabecular Bone

• Basaruddin Khairul Salleh

  Graduate School of Science and Technology, Keio University

• Takano Naoki

  Department of Mechanical Engineering, Keio University

• Akiyama Hikaru

  Department of Mechanical Engineering, Keio University

• Nakano Takayoshi

  Division of Materials and Manufacturing Science, Osaka University

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.

収録刊行物

• MATERIALS TRANSACTIONS

  MATERIALS TRANSACTIONS 54 (8), 1250-1256, 2013

  公益社団法人 日本金属学会

キーワード

• uncertainty
• porous microstructure
• image-based modeling
• stochastic homogenization method

詳細情報

• CRID: 1390282679226604032
• NII論文ID: 10031189470
• NII論文ID: 130004455169
• NII書誌ID: AA1151294X
• DOI: 10.2320/matertrans.me201307
• COI: 1:CAS:528:DC%2BC3sXhs1SqtLbF
• ISSN: 13475320
• ISSN: 13459678
• NDL書誌ID: 024716034
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024716034
• Web Site: https://www.jstage.jst.go.jp/article/matertrans/54/8/54_ME201307/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可