土木分野におけるAIの活用（その3）

[CS14-20] Development of Quantitative Evaluation Techniques for Internal Defects in Concrete Structures Using Machine Learning

*Takashi Matsunaga¹, Ryota Ogawa¹, Mitsuyuki Sagisaka¹, Yoshihiro Isobe¹, Shinobu Yoshimura², Tomonori Yamada² (1. Nuclear Fuel Industries, ltd., 2. The University of Tokyo)

Keywords:Artificial intelligence, Acoustic emission sensor, Digital hammering Inspection, Concrete, Internal defects, machine learning