Journal of the Computational Structural Engineering Institute of Korea (한국전산구조공학회논문집)

Computational Structural Engineering Institute of Korea (한국전산구조공학회)
권호 표지
DOI QR코드

DOI QR Code

Study on Measurement Condition Effects of CRP-based Structure Monitoring Techniques for Disaster Response

재해 대응을 위한 CRP기반 시설물 모니터링 기법의 계측조건 영향 분석

  • Lee, Donghwan (Department of Convergence Engineering for Future City, Sungkyunkwan Univ.) ;
  • Leem, Junghyun (Department of Convergence Engineering for Future City, Sungkyunkwan Univ.) ;
  • Park, Jihwan (Department of Convergence Engineering for Future City, Sungkyunkwan Univ.) ;
  • Yu, Byoungjoon (Department of Convergence Engineering for Future City, Sungkyunkwan Univ.) ;
  • Park, Seunghee (School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan Univ.)
  • 이동환 (성균관대학교 미래도시융합공학과) ;
  • 임정현 (성균관대학교 미래도시융합공학과) ;
  • 박지환 (성균관대학교 미래도시융합공학과) ;
  • 유병준 (성균관대학교 미래도시융합공학과) ;
  • 박승희 (성균관대학교 건설환경공학부)
  • Received : 2017.11.14
  • Accepted : 2017.11.29
  • Published : 2017.12.29
Download PDF
⟨ Previous Next ⟩

Abstract

Climate change has become the main cause of the exacerbation in natural disasters. Social Overhead Capital(SOC) structure needs to be checked for displacement and crack periodically to prevent damage and the collapse caused by natural disaster and ensure the safety. For efficient structure maintenance, the optical image technology is applied to the Structure Health Monitoring(SHM). However, optical image is sensitive to environmental factors. So it is necessary to verify its validity. In this paper, the accuracy of estimating the vertical displacement was verified with respect to environmental condition such as natural light, measurement distance, and the number of image sheets. The result of experiments showed that the effect of natural light on accuracy of estimating vertical displacement was the greatest of all. The measurement angle which was affected by the change in measurement distance was also important to check the vertical displacement. These findings will be taken into account by applying appropriate environmental condition to minimize errors when the bridge was measured by camera. It will also enable the application of optical images to the SHM.

기후변화에 따른 자연재해의 증가하고 있다. 이에 자연재해에 의한 토목구조물의 피해 및 붕괴를 예방하기 위하여 처짐 및 균열을 지속적인 관리가 필요하다. 이에 효과적인 구조물 관리를 위해 광학 이미지 기술이 유지관리 기술에 적용되고 있다. 하지만 광학이미지 기술은 촬영에 따른 주변 조건의 영향이 크며, 그 때문에 촬영조건에 대한 검증이 필요하다. 이를 위해 본 논문에서 촬영조건으로 자연광, 촬영매수, 촬영거리를 따른 수직변위 추정값의 정확도에 대해 검증하였다. 실험을 통해 확인한 결과 자연광이 수직변위를 추정하는데 자연광이 가장 큰 영향을 미치는 것을 확인할 수 있었고, 촬영거리 또한 수직변위를 검토하는데 주요한 영향을 미치는 것을 확인할 수 있었다. 본 결과를 통해서 외부환경에서 촬영하는데 활용하여 변위 추정 시 발생하는 오차를 최소화할 수 있으며, 이러한 과정을 통해 구조물 유지관리에 적용할 수 있다.

Keywords

References

  1. Bhatla, A., Choe, S.Y., Fierro, O., Leite, F. (2012) Evaluation of Accuracy of as-built 3D Modeling from Photos Taken by Handheld Digital Camera, Automa. Constr., 28, pp.116-127. https://doi.org/10.1016/j.autcon.2012.06.003
  2. Cho, H.-W., Yoon, H.-J., Park, J.J. (2014) An Experimental Study on Crack Recognition Characteristics of Concrete Structure based on Image Analysis according to Illuminance and Measurement Distance, J. Soc. Hazard Mitig., 14(1), pp.85-91.
  3. Choi, H., Ahn, C.H. (2009) Accuracy Analysis of Close-range Digital Photogrammetry for Measuring Displacement about Loading to Structure, J. Korean Soc. Civil Eng., 29(4), pp.545-553.
  4. Golparvar-Fard, M., Bohn, J., Teizer, J., Savarese, S., Pena-Mora, F. (2011) Evaluation of Image-based Modeling and Laser Scanning Accuracy for Emerging Automated Performance Monitoring Techniques, Autom. Constr., 20, pp.1143-1155. https://doi.org/10.1016/j.autcon.2011.04.016
  5. Han, J.-H., Song, J.J., Jo, Y.D. (2009) Effect of Photographing Light Intensity on Rock Joint Survey in Mine Tunnels using Stereo Photogrammetry, J. Korean Soc. Rock Mech., 19(6), pp.517-525.
  6. Klein, L., Li, N., Becerik-Gerber, B. (2012) Imaged-based Verification of As-built Documentation of Operational Buildings, Autom. Constr., 21, pp.161-171. https://doi.org/10.1016/j.autcon.2011.05.023
  7. Kim, G.H., Youn, J.H., Park, H.J. (2010) The Accuracy of Stereo Digital Camera Photogrammetry, J. Korean Soc. Surv. Geodesy, Photogramm. & Cartogr., 28(6), pp.663-668.
  8. Lee, J.-J., Park, Y.-S., Yun, C.-B., Koo, K.-Y., Yi, J.-H. (2008), An Overview of Information Processing Techinques for Structure Health Monitoring of Bridges, J. Comput. Struct. Eng. Inst. Korea, 21(6), pp.615-632.
  9. Lee, M., Hong, J.H. (2016) Analysis of the Determining Factors on Natural Disaster Damage using Panel Model, J. Korean Soc. Hazard Mitig., 16(4), pp.247-257. https://doi.org/10.9798/KOSHAM.2016.16.4.247
  10. Park, H.-J., Kim, G.-H. (2012) The Accuracy Verification of 3D Modeling using Digital Camera, J. Constr. & Environ. Res. Inst., 7(1), pp.134-140.
  11. Remondino, F., El-Hakim, S. (2006) Image-Based 3D Modeling: A Review, The Photogrammetric Record 21(115), pp.269-291. https://doi.org/10.1111/j.1477-9730.2006.00383.x
  12. Triggs, B., McLauchlan, P., Hartley, R., Fitzgibbon, A. (1999) Bundle Adjustment - A Modern Synthesis, IWVA '99: Proceedings of the International Workshop on Vision Algorithms, pp. 298-372.
  13. Zhu, Z., Brilakis, I. (2009) Comparison of Optical Sensor-Based Spatial Data Collection Techniques for Civil Infrastructure Modeling, J. Comput. Civil Eng., 23(3), pp.170-177. https://doi.org/10.1061/(ASCE)0887-3801(2009)23:3(170)