건축물 사후관리를 위한 포인트 클라우드 기반 표면균열 시뮬레이션 및 측정 알고리즘 개발

• 영문명: Development of a Point Cloud-Based Surface Crack Simulation and Measurement Algorithm for Post-Construction Building Maintenance
• 발행기관: 한국BIM학회
• 저자명: 김태훈(Tae-Hoon Kim) 김태우(Tae-Woo Kim) 김근재(Geun-Jae Kim) 추승연(Seung-Yeon Choo)
• 간행물 정보: 『KIBIM Magazine』15권 2호, 28~39쪽, 전체 12쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2025.06.30

국문 초록

Surface cracks in buildings are critical indicators of structural safety, and even minor defects may require immediate repair if they exceed regulatory thresholds. Such cracks can signify underlying structural flaws or construction deficiencies, and may also cause psychological discomfort and practical inconvenience for occupants. In particular, comprehensive inspection of apartment buildings is challenging due to the large number of units and extensive surface area. Traditional visual inspections conducted by skilled personnel rely heavily on human experience and are inherently subjective. To address this issue, this study proposes a parametric method for measuring crack widths and determining whether they meet the criteria for critical defects. A quantitative standard for crack evaluation is presented, with a focus on identifying major cracks classified as critical. A parametric mock-up was developed for algorithm creation and validation. To identify cracks exceeding the critical threshold of 0.3 mm, specifications for 3D scanners and point cloud density were derived, and wall surfaces with simulated cracks were generated accordingly. Crack-related points were extracted, and the distances between them were measured using a parametric algorithm to determine the width of the crack. The algorithm was then validated by comparing the results against the critical defect threshold. Preprocessing steps in the point cloud acquisition process were excluded in this study, and non-orthogonal architectural forms were not considered. Future research will aim to automate initial crack detection and preprocessing using deep learning techniques, enhancing the practical application of this approach in post-construction building maintenance.

목차

1. 서 론

2. 건축물 사후관리 및 포인트 클라우드 관련 선행연구 및 기술 분석

3. 건축물 표면균열 추출 기준 및 BIM 기반 Mockup 시나리오 도출

4. 포인트 클라우드 기반 표면균열 추출 및 측정 알고리즘 개발

5. 결 론

감사의 글

References

키워드

포인트 클라우드 표면균열 파라메트릭 알고리즘 탐지 기준 Point Cloud Surface Crack Parametric Algorithm Detection Criteria

참고문헌

• Doctor Thesis
• Engineering Structures
• Journal of the Korean Society for Advanced Composite Structures
• Korean Journal of Construction Engineering and Management
• Journal of the Korea Academia-Industrial cooperation Society
• Journal of the Urban Design Institute of Korea
• Journal of the Korea Academia-Industrial Cooperation Society
• Korean Journal of Construction Engineering and Management
• Measurement