Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep learning technology-Reference-Cited by-同舟云学术

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Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep learning technology

Published:2021-04-28 Issue: Volume: Page:
ISSN:2095-2430
Container-title:Frontiers of Structural and Civil Engineering
language:en
Short-container-title:Front. Struct. Civ. Eng.

Author:

Jierula Alipujiang,Oh Tae-Min,Wang Shuhong,Lee Joon-Hyun,Kim Hyunwoo,Lee Jong-Won

Publisher

Springer Science and Business Media LLC

Subject

Architecture,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11709-021-0715-y.pdf

Reference34 articles.

1. Mao W, Aoyama S, Goto S, Towhata I. Acoustic emission characteristics of subsoil subjected to vertical pile loading in sand. Journal of Applied Geophysics, 2015, 119: 119–127

2. Mao W W, Aoyama S, Towhata I. Feasibility study of using acoustic emission signals for investigation of pile spacing effect on group pile behavior. Applied Acoustics, 2018, 139: 189–202

3. Mao W W, Towhata I, Aoyama S, Goto S. Grain crushing under pile tip explored by acoustic emission. Geotechnical Engineering, 2016, 47(4): 164–175

4. Mao W W, Aoyama S, Goto S, Towhata I. Behaviour and frequency characteristics of acoustic emissions from sandy ground under model pile penetration. Near Surface Geophysics, 2016, 14(6): 515–525

5. Shehadeh M F, Elbatran A H, Mehanna A, Steel J A, Reuben R L. Evaluation of acoustic emission source location in long steel pipes for continuous and semi-continuous sources. Journal of Nondestructive Evaluation, 2019, 38(2): 40

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