Categorization of Post-Earthquake Damages in RC Structural Elements with Deep Learning Approach-Reference-Cited by-同舟云学术

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Categorization of Post-Earthquake Damages in RC Structural Elements with Deep Learning Approach

Published:2024-01-19 Issue:9 Volume:28 Page:2620-2651
ISSN:1363-2469
Container-title:Journal of Earthquake Engineering
language:en
Short-container-title:Journal of Earthquake Engineering

Author:

Yilmaz Mertcan¹^ORCID,Dogan Gamze²^ORCID,Arslan Musa Hakan²^ORCID,Ilki Alper³^ORCID

Affiliation:

1. Department of Civil Engineering, Faculty of Engineering, Erciyes University, Kayseri, Turkey

2. Department of Civil Engineering, Faculty of Engineering and Natural Science, Konya Technical University, Konya, Turkey

3. Department of Civil Engineering, Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13632469.2024.2302033

Reference95 articles.

1. AASHTO-LRFD. 2017. Bridge Design Specifications. 8th ed. Washington, DC: American Association of State Highway and Transportation Officials.

2. ACI-201. 2008. Guide to Durable Concrete (ACI 201.2R-01). Farmington: American Concrete Institute.

3. Reconnaissance of the 2017 Puebla, Mexico earthquake

4. The L'Aquila Earthquake of 6 April 2009 and Italian Government Policy on Disaster Response

5. Structural crack detection using deep convolutional neural networks

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1. Image classification on Post-Earthquake damage assessment: A case of the 2023 Kahramanmaraş earthquake;Engineering Science and Technology, an International Journal;2024-08

2. Technical issues on forensic assessment of post-earthquake building damage—Case study of the Hajj Dormitory Building, Mamuju, Indonesia;Structures;2024-08

3. Lessons learned from four recent Turkish earthquakes: Sivrice-Elazığ, Aegean Sea, and Dual Kahramanmaraş;Natural Hazards;2024-05-23

4. Applying Machine Learning to Earthquake Engineering: A Scientometric Analysis of World Research;Buildings;2024-05-13

5. Component Identification and Depth Estimation for Structural Images Based on Multi-Scale Task Interaction Network;Buildings;2024-04-02

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