최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Structural control and health monitoring, v.20 no.12, 2013년, pp.1397 - 1409
Liu, Wanqiu (Department of Transportation and Logistics, DUT, Dalian University of Technology (DUT), No. 2 Linggong Road, No.4 Lab Building, Room 520, Dalian, China, 116024) , Chen, Shen‐en (Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC, 28223‐)
SUMMARYTerrestrial 3D Light Detection and Ranging (LiDar) scanner has been suggested as a remote sensing technique for existing and newly constructed bridges. Using high resolution laser, 3D LiDar can populate a surficial area with millions of position data points. Bridge problems can benefit from LiDar scan, and current studies have found potential applications including damage detection, bridge clearance, and static deflection measurement. The technique is useful when accurate measurement of bridge geometry cannot be achieved by traditional survey technique, especially when site topography is prohibitive. However, resolution is still one of the main factors that limit the application of LiDar technology for advanced bridge monitoring. This paper discusses the reliability issues of such technique as well as the LiDar based bridge condition evaluation methodologies. Several experimental results are presented to establish the sensitivities for different assessments. Copyright © 2013 John Wiley & Sons, Ltd.
Achenbach JD . Structural health monitoring‐what is the prescription . Mechanics Research Communications 2009 ; 36 ( 12 ): 137 – 142 .
Yang K , Zhou XN , Yan WA , Hang DR , Steinmann P . Landfills in Jiangsu province, China, and potential threats for public health: Leachate appraisal and spatial analysis using geographic information system and remote sensing . Waste Management 2009 ; 28 ( 12 ): 2750 – 2757 .
Yitagesu FA , Werff H , Zigterman W . Quantifying engineering parameters of expansive soils from their reflectance spectra . Engineering Geology 2009 ; 105 ( 3–4 ): 151 – 160 .
Kaiser MF . Environmental changes, remote sensing, and infrastructure development: The case of Egypt's East Port Said harbor . Applied Geography 2009 ; 29 ( 2 ): 280 – 288 .
Forzieri G , Gardenti M , Caparrini F , Castelli F . A methodology for the pre‐selection of suitable sites for surface and underground small dams in arid areas: A case study in the region of Kidal, Mali . Physics and Chemistry of the Earth 2008 ; Parts A/B/C 33 ( 1–2 ): 74 – 85 .
Lee JJ , Fukuda Y , Shinozuka M , Cho S , Yun C‐B . A vision‐based system for remote sensing of bridge displacement [J] . NDT&E International 2006 ; 39 ( 5 ): 425 – 431 .
Ji Y , Chang C . Nontarget Image‐Based Technique for Small Cable Vibration Measurement . Journal of Bridge Engineering 2008 ; 13 ( 1 ): 34 – 42 .
Gentile C , Bernardini G . Output‐only modal identification of a reinforced concrete bridge from radar‐based measurements . NDT&E International 2008 ; 41 ( 7 ): 544 – 553 .
Gentile C . Deflection measurement on vibrating stay cables by non‐contact microwave interferometer . NDT&E International 2010 ; 43 ( 3 ): 231 – 240 .
Jensen J , Cowen D . Remote sensing of Urban/Suburban infrastructure and socio‐economic attributes . Photogrammetric Engineering and Remote Sensing 1999 ; 65 ( 5 ): 611 – 622 .
GeoEye . 2009 ; http://www.geoeye.com/CorpSite/corporate/.
DigitalGlobe . 2009 ; http://www.digitalglobe.com/index.php/82/Content+Collection+Systems.
Boyle Consulting Inc . 2009 ; http://www.insitefulimagery.com/about.htm.
Liu W , Chen S , Hauser E . Bridge clearance evaluation based on terrestrial LiDar scan . Journal of Performance of Constructed Facilities 2012 ; 26 ( 4 ): 469 – 477 .
Liu W , Chen S , Hauser E . LiDar‐based bridge structure defect detection . Experimental Techniques 2011 ; 22 : 27 – 34 .
Liu W , Chen S , David B , Hauser E . Application of 3D LiDar scan of a bridge under static load testing . Materials Evaluation 2010 ; 68 ( 12 ): 1359 – 1367 .
Liu M , Frangopol DM . Optimal bridge maintenance planning based on probabilistic performance prediction . Engineering Structures 2004 ; 26 ( 7 ): 991 – 1002 .
Stewart MG . Reliability‐based assessment of ageing bridges using risk ranking and life cycle cost decision analyses . Reliability Engineering and System Safety 2001 ; 74 ( 3 ): 263 – 273 .
Sasmal S , Ramanjaneyulu K . Condition evaluation of existing reinforced concrete bridges using fuzzy based analytic hierarchy approach . Expert Systems with Applications 2008 ; 35 ( 3 ): 1430 – 1443 .
Zhao Z , Chen C . Concrete bridge deterioration diagnosis using fuzzy inference system . Advances in Engineering Software 2001 ; 32 ( 4 ).
Teza G , Galgaro A , Moro F . Contactless recognition of concrete surface damage from laser scanning and curvature computation . NDT&E International 2009 ; 42 : 240 – 249 .
Chapman M , Mills D . Vehicle crush measurements using high resolution terrestrial LiDar . Proceedings of the Canadian Multidisciplinary Road Safety Conference XIII 2003 ; Banff, Alberta.
Creaform . 2012 ; http://www.creaform3d.com/en/metrology‐solutions/portable‐3d‐scanner‐handyscan‐3d.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.