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Damage Detection for Super Tall Building using Artificial Neural Networks

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  • URLhttps://db.koreascholar.com/Article/Detail/308925
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한국구조물진단유지관리공학회 (The Korea Institute For Structural Maintenance and Inspection)
초록

In this study, the damages detections were carried out using artificial neural networks for super tall building. In the results of detections, the damage locations and extents were similar to the actual damages. The accuracy is expected to increase as the number of learning case is larger.

저자
  • 김승남(비회원, ㈜창민우구조컨설탄트, 과장) | Kim, Seung-Nam
  • 김태진(정회원, ㈜창민우구조컨설탄트, 사장) | Kim, Taejin
  • 이헌우(비회원, ㈜창민우구조컨설탄트, 사원) | Lee, Heon-Woo
  • 이용제(비회원, ㈜창민우구조컨설탄트, 소장) | Lee, Yong-Jei