Flaking concrete detection with hammering inspection methodology based on machine learning

研究成果: Paper

抄録

Recently, efficient infrastructure maintenance methodologies have been required in Japan, because the number of aged infrastructures, such as bridges, roads, and tunnels, are increasing drastically. Actual maintenance works consist of a visual inspection, hammering test and paper based archiving. However, there are technical issues, such as a rapider education for professional inspection, infrastructure evaluation cost improvement, and shortage of skilled engineers for infrastructure maintenance. In this paper, we aimed to propose an inspection methodology based on machine learning for concrete structure maintenance using Geographic Information Systems (GIS). We also focused on a hammering test for flaking concrete detection as GIS attribute data acquisition on site. The hammering inspection methodology can evaluate health a condition of concrete surface with hammering sounds. In this research, we have applied a machine learning methodology with k-nearest neighbor (k-NN) algorithm for concrete hammering inspection works.

元の言語English
出版物ステータスPublished - 2017 1 1
イベント38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 - New Delhi, India
継続期間: 2017 10 232017 10 27

Other

Other38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017
India
New Delhi
期間17/10/2317/10/27

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Learning systems
Inspection
Concretes
Geographic information systems
Concrete construction
Data acquisition
Tunnels
Education
Health
Acoustic waves
Engineers
Costs

ASJC Scopus subject areas

  • Computer Networks and Communications

これを引用

Saso, H., Katsuki, F., & Nakagawa, M. (2017). Flaking concrete detection with hammering inspection methodology based on machine learning. 論文発表場所 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.

Flaking concrete detection with hammering inspection methodology based on machine learning. / Saso, Hayami; Katsuki, Futoshi; Nakagawa, Masafumi.

2017. 論文発表場所 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.

研究成果: Paper

Saso, H, Katsuki, F & Nakagawa, M 2017, 'Flaking concrete detection with hammering inspection methodology based on machine learning', 論文発表場所 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India, 17/10/23 - 17/10/27.
Saso H, Katsuki F, Nakagawa M. Flaking concrete detection with hammering inspection methodology based on machine learning. 2017. 論文発表場所 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.
Saso, Hayami ; Katsuki, Futoshi ; Nakagawa, Masafumi. / Flaking concrete detection with hammering inspection methodology based on machine learning. 論文発表場所 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, New Delhi, India.
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