Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

Improving the accuracy of relative bridge damage risk assessment model during heavy rain using machine learning (abs.)

Authors=Miku ANDO, Koichi ISOBE, Fudong REN

Journal/Book_names=Japan National Conference on Geotechnical Engineering (DVD)

volume=59

pages=25-11-3-07

Publish_year=2024

Publisher=Japanese Geotechnical Society

Language_of_Text=JA

ID=300045685

@id=https://gbank.gsj.jp/ld/resource/geolis/300045685