構造工学論文集 A
Online ISSN : 1881-820X
コンクリート構造・橋:論文
AI画像分析を活用したRC床版疲労遷移点の検知に関する研究
横山 広龍田 斉野村 貴律安東 祐樹長井 宏平
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2020 年 66A 巻 p. 783-790

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In this study, paying attention to the Kadokake (small delamination along the crack) caused by repeated wheel load acting on the road bridge slab, we devised a method to evaluate the load bearing performance by grasping the number of Kadokake detected by AI. We acquired images during the degradation process in the wheel load running test and obtained the number of Kadokake in the image and compared it with the crack density. As a result, the increasing tendency of the crack density and the number of Kadokake changed during the test, but it was found that the number of Kadokake changed at an earlier stage than the crack density. Therefore, this method have validity and can be applied as the method which evaluate load bearing performance.

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© 2020 公益社団法人 土木学会
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