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粘弾性体内の気泡振動予測の改善

発表形態:
一般講演(学術講演を含む)
主要業績:
主要業績
単著・共著:
共著
発表年月:
2023年03月
DOI:
会議属性:
国内会議
査読:
無し
リンク情報:

日本語フィールド

著者:
山﨑 壮朗,山本 龍之介, 小倉 理紗,橋本 時忠, 住 隆博 読み: ヤマサキタケアキ,ヤマモトリュウノスケ,オグラリサ,ハシモトトキタダ,スミタカヒロ
題名:
粘弾性体内の気泡振動予測の改善
発表情報:
2022年度衝撃波シンポジウム
キーワード:
Viscoelastic properties, High strain-rate, Laser-induced cavitation, Inverse analysis, Numerical modelling
概要:
抄録:
For the fields of biology and biomedical engineering, it is well known that pressure waves such as shock waves stimulate living tissue and act as therapeutic effects. We take notice of viscoelastic properties of living tissues; however, it is difficult to measure those properties at high strain-rates using a rheometer due to material failure during tests. Therefore, we introduced a new estimation method using laser-induced cavitation bubbles, in which the viscoelastic properties can be obtained by fitting of numerical solutions to experimentally obtained oscillation profiles. In this study, we focus on the effects of compressibility, heat transfer, and constitutive laws of viscoelasticity in the numerical analysis to improve the prediction results.

英語フィールド

Author:
YAMASAKI Takeaki, YAMAMOTO Ryunosuke, OGURA Risa, HASHIMOTO Tokitada, SUMI Takahiro
Title:
Improvement on Prediction of Bubble Motions Oscillated in Viscoelastic Materials
Announcement information:
Keyword:
Viscoelastic properties, High strain-rate, Laser-induced cavitation, Inverse analysis, Numerical modelling
An abstract:
For the fields of biology and biomedical engineering, it is well known that pressure waves such as shock waves stimulate living tissue and act as therapeutic effects. We take notice of viscoelastic properties of living tissues; however, it is difficult to measure those properties at high strain-rates using a rheometer due to material failure during tests. Therefore, we introduced a new estimation method using laser-induced cavitation bubbles, in which the viscoelastic properties can be obtained by fitting of numerical solutions to experimentally obtained oscillation profiles. In this study, we focus on the effects of compressibility, heat transfer, and constitutive laws of viscoelasticity in the numerical analysis to improve the prediction results.


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