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60톤 크레인의 주행 진동 실험을 통한 인접 석조 문화재의 안정성 평가 KCI 등재

Vibration testing using the movement of a 60ton crane for the evaluation the stability of nearby stone cultural heritage.

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  • URLhttps://db.koreascholar.com/Article/Detail/432274
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한국공간구조학회지 (JOURNAL OF THE KOREAN ASSOCIATION FOR AND SPATIAL STRUCTURES)
한국공간구조학회 (Korean Association for Spatial Structures)
초록

The aim of this study is to evaluate the possibility of damage to cultural assets resulting from vibrations generated by construction vehicle traffic. The cultural heritage's natural vibration frequency was determined to be 150Hz by measurement. The damping ratios were calculated as 4.7% using the logarithmic decrement approach and 4.3% using the half-power method. The vibration measurements obtained during vehicle operation indicated that, despite an increase in vehicle velocity of up to 15 km/h, the vibrations remained below the detectable level of 0.13 mm/sec. When the road is curved and the terrain is sloped, a suitable speed for vehicle operation was found to be around 17 km/h, at which point vibrations were seen. The highest recorded vibration amplitude at this velocity was 0.217 mm/sec, which remains below the stringent regulation limit of 2 mm/sec. Thus, it can be concluded that there is no actual harm caused by vibrations.

목차
1. 서론
2. 지반 지형 현황
3. 진동 측정 및 분석방법
    3.1 측정 장비
    3.2 측정 방법
4. 진동 측정 결과 및 분석
    4.1 고유진동수 진동측정 결과
    4.2 차량 운행시 진동측정 결과
    4.3 진동측정 결과 분석
5. 컴퓨터 모델링 및 구조해석
    5.1 개요
    5.2 재료적 물성치
    5.3 해석 결과
6. 결론
References
저자
  • 이가윤(세종대학교 건축공학과 딥러닝 건축연구소, 박 사후연구원) | Lee, Ga-Yoon (Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University)
  • 라영은(LIG넥스원, C4ISTAR기계융합연구소 수석연구원) | Ra, Young-Eun (LIGNEX1, Mechanica R&D (Surveillance & Reconnaissance), Chief Research Engineer)
  • 이종학(LIG넥스원, C4ISTAR기계융합연구소 수석연구원) | Lee, Jong-Hak (LIGNEX1, Mechanica R&D (Surveillance & Reconnaissance), Chief Research Engineer)
  • 이성민((재)한국건설품질연구원 부원장, 공학박사) | Lee, Sung-Min (Korea Construction Quality Research Center (KCQR))
  • 이기학(세종대학교 건축공학과 딥러닝 건 축연구소 교수, 공학박사) | Lee, Kihak (Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University) Corresponding author