ニューラルネットワークによる福井の橋梁の健全度診断に関する研究

Abstract

In this study, a neural network is employed to evaluate the health of slabs and main girders in PC girder bridges and steel girder bridges in Fukui Prefectures. The networks are constructed to model the relationships between various deterioration factors and the overall health status, based on data from the second round of assessments. The reliability and feasibility of the method are examined through numerical examples.departmental bulletin pape