DIAGNOSIS FOR AXIAL FORCE OF HIGH-STRENGTH BOLTS USING PATTERN RECOGNITION

• HIROKANE Michiyuki

  関西大学 総合情報学部

• NAKATA Hirokazu

  関西大学大学院 総合情報学研究科

• KONISHI Hideyuki

  日本橋梁株式会社 技術開発室

• SUZUKI Naoto

  日本橋梁株式会社 技術開発室

Bibliographic Information

Other Title

• パターン認識を用いた高力ボルトの軸力診断に関する研究

Abstract

 Currently, the bridges which were built in period of high economic growth are accounting for about 40% of all bridges and the deterioration of the high-strength bolts has become the important problem. It is necessary to diagnose periodically in order to find the deterioration of the high-strength bolts due to corrosion and metal fatigue and so on. The impact acoustics method is one of the diagnosis methods of the axial force. But, it is required the method that can diagnose more accurately and efficiently because the impact acoustics method has problems which depends on the engineer's experience and intuition, be required the high costs for the diagnosis and is shortage of the enough skilled engineer. In this study, we collected many wave pattern data of the impact acoustics that were taken by hitting the examination body which concluded the high-strength bolts with the tapping hammer and recognized the axial force by using the frequency data that were taken by converting the wave pattern data through the pattern recognition method.

Journal

• Journal of Japan Society of Civil Engineers, Ser. F6 (Safety Problem)

  Journal of Japan Society of Civil Engineers, Ser. F6 (Safety Problem) 69 (2), I_69-I_74, 2013

  Japan Society of Civil Engineers

Keywords

• high-strength bolt
• axial forcce
• pattern recognition
• fast fourier transform
• random forest

Details

• CRID: 1390001205356371456
• NII Article ID: 130004560181
• DOI: 10.2208/jscejsp.69.i_69
• ISSN: 21856621
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed