Application of The Random Tunneling Algorithm for Cavity Shape Identification Using Displacement Response Waveform in Hammering Test-Reference-Cited by-同舟云学术

Application of The Random Tunneling Algorithm for Cavity Shape Identification Using Displacement Response Waveform in Hammering Test

Published:2020-10-15 Issue:10 Volume:69 Page:746-753
ISSN:0514-5163
Container-title:Journal of the Society of Materials Science, Japan
language:en
Short-container-title:J. Soc. Mat. Sci., Japan

Author:

YOSHIHARA Kenta¹,SAKAI Kento¹,KURAHASHI Takahiko¹,MURAKAMI Yuki²,TOYAMA Shigehiro³,IKEDA Fujio⁴,IYAMA Tetsuro⁴,IHARA Ikuo¹

Affiliation:

1. Dept. of Mechanical Engineering, Nagaoka University of Technology

2. Dept. of Civil Engineering, National Institute of Technology, Nagaoka College

3. Dept. of Electrical & Electronic Systems Engineering, National Institute of Technology, Nagaoka College

4. Dept. of Mechanical Engineering, National Institute of Technology, Nagaoka College

Publisher

Society of Materials Science, Japan

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.jstage.jst.go.jp/article/jsms/69/10/69_746/_pdf

Reference15 articles.

1. 1) T. Kamada, M. Asano, M. Kunieda and K. Rokugo, ”Application of hammering method to quantitative non-destructive inspection of a surface defect of a concrete structure”, Journal of Japan Society of Civil Engineering, Vol.2002, No.704, pp.65-79 (2002).

2. 2) S. Lee, T. Kamada, S. Uchida and D. Linzel, ”Imaging defects in concrete structures using accumulated SIBIE”, Construction and Building Materials, Vol.67, Part B, pp.180-185 (2014).

3. 3) N. Metni and T. Hamel, ”A UAV for bridge inspection: Visual servoing control law with orientation limits”, Automation in Construction, Issue 1, Vol.17, pp.3-10 (2007).

4. 4) A. Nouchi, Y. Murakami, T. Iyama and S. Toyama, ”Evaluation of defective areas inside concrete structures through application of frequency response function data to Self-Organizing Map”, Concrete Research and Technology, Vol.29, No.29, pp.87-100 (2018).

5. 5) E. Katamine and H. Azegami, ”Domain optimization analysis of viscous flow field (In the case of considering convective term)”, Transaction of Japan Society of Mechanical Engineering, Series B, Vol.61, No.585, pp.1646-1653 (1995).

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