| Autor: |
Takahiro Minami, Tomotaka Fukuoka, Mai Yoshikura, Taiki Suwa, Makoto Fujiu |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Infrastructures, Vol 7, Iss 6, p 82 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2412-3811 |
| DOI: |
10.3390/infrastructures7060082 |
| Popis: |
With the aging of bridges, the efficiency of periodic inspections has become a problem. As issues with the continuing close visual inspection of bridges are surfacing, remote imaging systems are expected to become a new inspection method that replaces close visual inspection. The objective of the study is to develop a classification model of countermeasure categories using the results of past periodic inspections of bridges conducted by skilled inspectors. Focusing on concrete slabs, a model was constructed to classify the countermeasure categories based on the characteristics of the damage maps by random forest classification. As a result, it was possible to classify two classes of countermeasure categories with a macro-average precision rate of about 88%. It became clear that the degree of crack development and the number of cracks are the most important factors in the classification of judgment categories. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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