Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Survey of Distortion of Steel Arch Bridges by Point Cloud Measurement in Post-Earthquake Inspection
Kaoru YOSHITANITakumi KOBAYASHIMichio OHSUMI
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JOURNAL OPEN ACCESS

2024 Volume 5 Issue 3 Pages 678-687

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Abstract

In post-earthquake inspections of road bridges, it is necessary to quickly and accurately assess the damage to decide on a course of action. The current post-earthquake inspections are almost always conducted by visual inspection, and there are no objective standards for determining necessity of additional investigations. However, there is a possibility that damage that cannot be recognized by visual inspection may influence the decision on the course of action. In order to improve the certainty of the course of action, it is necessary to clarify the information on damage to be collected, and to provide a means of acquiring information that contributes to this information and an objective evaluation method for it. As a case study, this study conducted a visual inspection of the superstructure of a steel arch bridge damaged in the Noto Peninsula earthquake, and also conducted point cloud measurements. The deformation of the members was measured using a model created from the point cloud in order to detect the distortion of the superstructure, and the results were quantitatively evaluated.

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© 2024 Japan Society of Civil Engineers
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