Machine learning-based rapid visual screening for building damage assessment: study of Joshimath town of Garhwal Himalaya, India

被引:0
|
作者
Ajay Chourasia [1 ]
Kishor S. Kulkarni [1 ]
Sagar Tomar [1 ]
Mickey Mecon Dalbehera [1 ]
Ashish Kapoor [1 ]
Govind Gaurav [1 ]
R. Pradeep Kumar [1 ]
机构
[1] CSIR–Central Building Research Institute,
关键词
Land subsidence; Buildings; Slope gradient; Damage assessment; Vulnerability map; CNN model;
D O I
10.1007/s41024-024-00519-y
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Damage assessment of buildings due to land subsidence in Joshimath town of Northwestern Himalaya, India
    Chourasia, Ajay
    Dalbehera, Mickey Mecon
    Kapoor, Ashish
    Kulkarni, Kishor S.
    Gaurav, Govind
    Singh, Satyavrat
    Kumar, R. Pradeep
    NATURAL HAZARDS, 2024, 120 (12) : 11433 - 11450
  • [2] Deep learning and benchmark machine learning based landslide susceptibility investigation, Garhwal Himalaya (India)
    Saha, Soumik
    Majumdar, Paromita
    Bera, Biswajit
    QUATERNARY SCIENCE ADVANCES, 2023, 10
  • [3] Machine Learning-Based Classification for Rapid Seismic Damage Assessment of Buildings at a Regional Scale
    Bhatta, Sanjeev
    Dang, Ji
    JOURNAL OF EARTHQUAKE ENGINEERING, 2024, 28 (07) : 1861 - 1891
  • [4] Developing a machine learning-based rapid visual screening method for seismic assessment of existing buildings on a case study data from the 2015 Gorkha, Nepal earthquake
    Bektas, Nurullah
    Kegyes-Brassai, Orsolya
    BULLETIN OF EARTHQUAKE ENGINEERING, 2024,
  • [5] Machine Learning-Based Fast Seismic Risk Assessment of Building Structures
    Tang, Qi
    Dang, Ji
    Cui, Yao
    Wang, Xin
    Jia, Jinqing
    JOURNAL OF EARTHQUAKE ENGINEERING, 2022, 26 (15) : 8041 - 8062
  • [6] Optimising synthetic datasets for machine learning-based prediction of building damage due to tunnelling
    Gamra, Ali
    Ninic, Jelena
    Ghiassi, Bahman
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2024, 152
  • [7] A deep learning-based study on visual quality assessment of commercial renovation of Chinese traditional building facades
    Zhao, Jingjing
    Han, Chenping
    Wu, Yijing
    Xu, Changsheng
    Huang, Xing
    Qi, Xiwu
    Qi, Yangming
    Gao, Liang
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2025, 113
  • [8] A Machine Learning-Based Method for Rapid Prediction of Earthquake Damage in Brick Masonry Houses
    Liu L.
    Shen J.
    Zhang L.
    Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2023, 48 (05): : 1769 - 1779
  • [9] A novel machine learning-based algorithm to detect damage in high-rise building structures
    Rafiei, Mohammad Hossein
    Adeli, Hojjat
    STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS, 2017, 26 (18):
  • [10] Deep learning-based rapid damage assessment of RC columns under blast loading
    Zhou, Xiao-Qing
    Huang, Bing-Gui
    Wang, Xiao-You
    Xia, Yong
    ENGINEERING STRUCTURES, 2022, 271