NEW DIRECTIONS IN STRUCTURAL HEALTH MONITORING
作者: Khalid MosalamSifat MuinYuqing Gao
刊名: NED University Journal of Research, 2019, pp.77 - 112
来源数据库: NED University of Engineering and Technology
原始语种摘要: This paper presents two on-going efforts of the Pacific Earthquake Engineering Research (PEER) center in the area of structural health monitoring. The first is data-driven damage assessment, which focuses on using data from instrumented buildings to compute the values of damage features. Using machine learning algorithms, these damage features are used for rapid identification of the level and location of damage after earthquakes. One of the damage features identified to be highly efficient is the cumulative absolute velocity. The second is vision-based automated damage identification and assessment from images. Deep learning techniques are used to conduct several identification tasks from images, examples of which are the structural component type, and level and type of damage. The...
全文获取路径: NED工程技术大学  (合作)
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关键词翻译
关键词翻译
  • features 特征
  • upload 上装
  • computer 电子计算机
  • vision 视力
  • automatically 自动地
  • efficient 有用的
  • damage 损伤
  • machine 机器
  • learning 学识
  • monitoring 监视