利用基于深度学习的分割方法估算地震冲击后砌体结构的损坏程度

IF 2.1 4区工程技术 Q2 GEOCHEMISTRY & GEOPHYSICS

Journal of Earthquake and Tsunami Pub Date : 2023-12-29 DOI:10.1142/s1793431123500367

K. Hacıefendioğlu, K. Ozgan, S. Adanur, A. Altunışık, Betul Demirer, Murat Gunaydin

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimation of Damage Levels in Masonry Structures following Earthquake Impact using Deep Learning-Based Segmentation Method

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来源期刊

Journal of Earthquake and Tsunami 地学-地球化学与地球物理

CiteScore

2.60

自引率

13.30%

发文量

审稿时长

>12 weeks

期刊介绍： Journal of Earthquake and Tsunami provides a common forum for scientists and engineers working in the areas of earthquakes and tsunamis to communicate and interact with one another and thereby enhance the opportunities for such cross-fertilization of ideas. The Journal publishes original papers pertaining to state-of-the-art research and development in Geological and Seismological Setting; Ground Motion, Site and Building Response; Tsunami Generation, Propagation, Damage and Mitigation, as well as Education and Risk Management following an earthquake or a tsunami. We welcome papers in the following categories: Geological and Seismological Aspects Tectonics: (Geology - earth processes) Fault processes and earthquake generation: seismology (earthquake processes) Earthquake wave propagation: geophysics Remote sensing Earthquake Engineering Geotechnical hazards and response Effects on buildings and structures Risk analysis and management Retrofitting and remediation Education and awareness Material Behaviour Soil Reinforced concrete Steel Tsunamis Tsunamigenic sources Tsunami propagation: Physical oceanography Run-up and damage: wave hydraulics.