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 TakahiroTitle：Improvement on Prediction of Bubble Motions Oscillated in Viscoelastic MaterialsAnnouncement information:Keyword：Viscoelastic properties, High strain-rate, Laser-induced cavitation, Inverse analysis, Numerical modellingAn 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.