第16回
保全分野におけるAIを用いた順解析、逆解析、未来予測の試み
著者:
礒部 仁博,松永 嵩,藤吉 宏彰,小川 良太,匂坂 充行,(原燃工),山田 知典,吉村 忍,(東京大)
発刊日:
公開日:
キーワードタグ:
Abstract As an attempt to apply AI in the field of maintenance, we have been studying "forward analysis", "inverse analysis" and "future prediction". As for the “forward analysis”, as a theoretical verification of the digital hammering inspection results using the AE sensor, the natural frequency obtained in the hammering inspection is confirmed by “time history response analysis”. Because there is a combination of the shape, material properties to be inspected, measuring position of natural frequency, etc....
英字タイトル:
Attempts of forward analysis, reverse analysis and future prediction using AI in the field of maintenance
第17回
埋込金物に対するAEセンサを用いた打音検査の効率化に 向けた取組み2
著者:
小川 良太,石井 元武,藤吉 宏彰,礒部 仁博,(原燃工),鈴木 峻史,服部 功三,関口 昭司,三浦 進,(日本原燃)
発刊日:
公開日:
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Non-destructive evaluation technique was developed to identify the integrity of embedded hardware using digital hammering inspection with AE (Acoustic Emission) sensor. The inspection can diagnose the fixed state of the embedded hardware in terms of its natural frequency and vibration duration. Mockup tests were conducted to investigate the relationship between the change in vibration duration and the fixed state under various loads including external tensile loads and thermal loads when welding supports on...
英字タイトル:
Improvement of the efficiency of hammering inspection using AE sensor for embedded hardware 2
第14回
社会インフラ診断へのPFMの適用検討
著者:
礒部 仁博,Yoshihiro ISOBE,藤吉 宏彰,Hiroaki FUJIYOSHI,松永 嵩,Takashi MATSUNAGA,小川 良太,Ryota OGAWA,匂坂 充行,Mitsuyuki SAGISAKA,松本 聡司,Satoshi MATSUMOTO,高坂 徹,Toru KOSAKA,吉村 忍,Shinobu YOSHIMURA
発刊日:
公開日:
キーワードタグ:
Special attentions have been increasingly paid for the diagnosis of social infrastructures after the collapse of ceiling of Sasago tunnel of Chuo Expressway. It is reported that the main cause was due to the age-related degradation of chemical anchors. Chemical anchors are also frequently used in nuclear power stations. Here we have been trying to apply PFM (Probabilistic Fracture Mechanics) to the diagnosis of social infrastructures using Dr. Mainte, an integrated simulator to optimize maintenance activi...
英字タイトル:
A Study of Application of PFM (Probabilistic Fracture Mechanics) to the Diagnosis of Social Infrastructures ]