Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Research on Fast Seismic Intensity Evaluation Method Based on Convolution Neural Network
The rapid determination of earthquake intensity after an earthquake is of great significance for disaster relief and disaster reduction. The traditional earthquake intensity assessment is determined by on-site manual investigation, which usually takes a long time, and it often takes a longer time to complete the strong earthquake with a larger impact range. In this paper, we try to use computer method to replace manual work, that is, convolutional neural network (CNN) in depth learning. According to the characteristics of post earthquake building damage and the specifications of seismic intensity scale of Chinese earthquakes, we build a proper CNN model, train and test the model with marked data set samples, and build a rapid seismic intensity evaluation platform with high timeliness. Finally, this paper points out the problems of this method in the evaluation, and looks forward to the future research and application of fast seismic intensity evaluation method based on convolutional neural network.
Research on Fast Seismic Intensity Evaluation Method Based on Convolution Neural Network
The rapid determination of earthquake intensity after an earthquake is of great significance for disaster relief and disaster reduction. The traditional earthquake intensity assessment is determined by on-site manual investigation, which usually takes a long time, and it often takes a longer time to complete the strong earthquake with a larger impact range. In this paper, we try to use computer method to replace manual work, that is, convolutional neural network (CNN) in depth learning. According to the characteristics of post earthquake building damage and the specifications of seismic intensity scale of Chinese earthquakes, we build a proper CNN model, train and test the model with marked data set samples, and build a rapid seismic intensity evaluation platform with high timeliness. Finally, this paper points out the problems of this method in the evaluation, and looks forward to the future research and application of fast seismic intensity evaluation method based on convolutional neural network.
Research on Fast Seismic Intensity Evaluation Method Based on Convolution Neural Network
Fu, Youyi (Autor:in) / Liu, Min (Autor:in) / Long, Denghua (Autor:in) / Pei, Chengzhang (Autor:in) / Zhang, Meng (Autor:in) / Feng, Qian (Autor:in)
01.11.2022
771906 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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