Application of The Random Tunneling Algorithm for Cavity Shape Identification Using Displacement Response Waveform in Hammering Test
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- YOSHIHARA Kenta
- Dept. of Mechanical Engineering, Nagaoka University of Technology
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- SAKAI Kento
- Dept. of Mechanical Engineering, Nagaoka University of Technology
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- KURAHASHI Takahiko
- Dept. of Mechanical Engineering, Nagaoka University of Technology
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- MURAKAMI Yuki
- Dept. of Civil Engineering, National Institute of Technology, Nagaoka College
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- TOYAMA Shigehiro
- Dept. of Electrical & Electronic Systems Engineering, National Institute of Technology, Nagaoka College
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- IKEDA Fujio
- Dept. of Mechanical Engineering, National Institute of Technology, Nagaoka College
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- IYAMA Tetsuro
- Dept. of Mechanical Engineering, National Institute of Technology, Nagaoka College
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- IHARA Ikuo
- Dept. of Mechanical Engineering, Nagaoka University of Technology
Bibliographic Information
- Other Title
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- 打撃検査における変位応答波形を用いた空洞形状同定へのランダム・トンネリング・アルゴリズムの適用
- ダゲキ ケンサ ニ オケル ヘンイ オウトウ ハケイ オ モチイタ クウドウ ケイジョウ ドウテイ エ ノ ランダム ・ トンネリング ・ アルゴリズム ノ テキヨウ
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Abstract
<p>In this paper, we present a shape identification of a cavity in a structure based on the finite element and the adjoint variable methods using the hammering testing data. The governing equation is employed the equation of motion in the three dimensions. A formulation of the problem based on the adjoint variable method is performed to find the optimal cavity shape so as to minimize the residual between the computed displacement and the observed displacement. The random tunneling algorithm is introduced to obtain the optimal cavity shape. Some numerical experiments are carried out to investigate the effects of several hammering force on the accuracy of the identified cavity shape.</p>
Journal
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- Journal of the Society of Materials Science, Japan
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Journal of the Society of Materials Science, Japan 69 (10), 746-753, 2020-10-15
The Society of Materials Science, Japan
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Details 詳細情報について
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- CRID
- 1390286426511584000
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- NII Article ID
- 130007927973
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- NII Book ID
- AN00096175
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- ISSN
- 18807488
- 05145163
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- NDL BIB ID
- 030702930
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed