Deep learning-based detection of structural damage using time-series data-Reference-Cited by-同舟云学术

Deep learning-based detection of structural damage using time-series data

Published:2020-09-03 Issue:11 Volume:17 Page:1474-1493
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Dang Hung V.¹²^ORCID,Raza Mohsin³,Nguyen Tung V.⁴,Bui-Tien T.⁵,Nguyen Huan X.¹

Affiliation:

1. Faculty of Science and Technology, Middlesex University, London, UK

2. Faculty of Building and Industrial Construction, National University of Civil Engineering, Hanoi, Vietnam

3. Department of Computer Science, Edge Hill University, Ormskirk, UK

4. Modeling & Simulation Team, Schlumberger, Clamart, France

5. Department of Bridge and Tunnel Engineering, Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam

Funder

British Council

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2020.1815225

Reference51 articles.

1. 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

2. Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks

3. Seismic analysis and response of multistory semirigid frames

4. Brownlee, J. (2019). What is deep learning? Retrieved from https://machinelearningmastery.com/what-is-deep-learning.

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