Convolutional neural network-based rapid post-earthquake structural damage detection: case study

HIGHLIGHTS

  • who: Edisson Alberto Moscoso Alcantara and Taiki Saito from the Department of Architecture and Civil Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan have published the research work: Convolutional Neural Network-Based Rapid Post-Earthquake Structural Damage Detection: Case Study, in the Journal: Sensors 2022, 6426 of /2022/
  • what: In this research article, a previous methodology proposed by the authors has been improved and applied to two instrumented buildings in Aichi Prefecture in Japan, called Tahara City hall and Toyohashi Fire Station.
  • how: The accuracy of the results is evaluated by comparing the . . .

     

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