Presentation 2021-02-22
Inverse wave analysis for crack opening displacement using sparse modeling
Sohichi Hirose, Ayumi Wakita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Sparse modeling has been applied to many inverse problems as an approximatemethod to solve an equation with sparsely distributed solutions. In this study, the sparse modeling analysis is applied to source identification problems in two dimensional steady state anti-plane wave field. Both body forces and crack opening displacements are considered as wave sources. In numerical simulation, it is shown that both wave sources are reconstructed well from wave fields calculated at several points near the sources. In case of the crack problem, it is found that not only the location and magnitude of the crack opening displacement but also the crack orientation can be determined from the moment tensor obtained in the inversion.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) inverse analysis / source identification / body force / crack opening displacement / 2D anti-plane wave / LASSO
Paper # US2020-73
Date of Issue 2021-02-15 (US)

Conference Information
Committee US
Conference Date 2021/2/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hikaru Miura(Nihon Univ.)
Vice Chair Jun Kondo(Shizuoka Univ.) / Yoshikazu Koike(Shibaura Inst. of Tech.)
Secretary Jun Kondo(Doshisha Univ.) / Yoshikazu Koike(Tohoku Univ.)
Assistant Shinnosuke Hirata(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Ultrasonics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Inverse wave analysis for crack opening displacement using sparse modeling
Sub Title (in English)
Keyword(1) inverse analysis
Keyword(2) source identification
Keyword(3) body force
Keyword(4) crack opening displacement
Keyword(5) 2D anti-plane wave
Keyword(6) LASSO
1st Author's Name Sohichi Hirose
1st Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
2nd Author's Name Ayumi Wakita
2nd Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
Date 2021-02-22
Paper # US2020-73
Volume (vol) vol.120
Number (no) US-377
Page pp.pp.35-38(US),
#Pages 4
Date of Issue 2021-02-15 (US)