인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Following an earthquake, roads must be opened as soon as possible for emergency transportation. Therefore, the damages to road bridges must be quickly and accurately assessed and their structural safety and serviceability must be confirmed. For this purpose, current post‐earthquake inspections are first conducted by vehicle patrols, followed by hands‐on inspections in case of irregularities on the road surface. However, this inspection method is time‐consuming. Despite this, in post‐earthquake inspections, the safety of structures must be accurately diagnosed and fatal damages must not be overlooked. Therefore, inspection methods must be highly reliable. To clarify the scope of application where the quality of inspection results is guaranteed, this study examined the correspondence between measurement conditions and quality and proposed a concept for evaluating this relationship. Based on this concept, we present a method to evaluate the extent of damage based on images captured by unmanned aerial vehicles (UAVs) that are utilized for post‐earthquake inspections. Experiments were conducted to verify the deformation detection accuracy of UAVs. The results indicated that at a distance of 2 m, cracks ≥ 0.3 mm, deformation angles ≥ 1°, and movements ≥ 2 mm can be confirmed. This conformity evaluation, which was also confirmed by cross‐checking with the actual damages, demonstrates the potential of this technology for practical applications.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
