An Evaluation of Commercially Available Remote Sensors for Assessing Highway Bridge Condition

This report focuses on evaluating twelve forms of remote sensing that are potentially valuable to assessing bridge condition. The techniques are: ground penetrating radar (GPR), spectra, 3-D optics (including photogrammetry), electro-optical satellite and airborne imagery, optical interferometry, LiDAR, thermal infrared, acoustics, digital image correlation (DIC), radar (including backscatter and speckle), interferometric synthetic aperture radar (InSAR), and high-resolution "StreetView-style" digital photography. Using a rating methodology developed specifically for assessing the applicability of these remote sensing technologies, each technique was rated for accuracy, commercial availability, cost of measurement, pre-collection preparation, complexity of analysis and interpretation, ease of data collection, stand-off distance, and traffic disruption. Key findings from the evaluation are that 3-D optics and “StreetView-style” photography appear to have the greatest potential for assessing surface condition of the deck and structural elements, while radar technologies, including GPR and higher frequency radar, as well as thermal/infrared imaging demonstrate promise for subsurface challenges. Global behavior can likely be best monitored through electro-optical satellite and airborne imagery, optical interferometry, and LiDAR.

[1]  Peter Cawley,et al.  Feasibility of digital image correlation for detection of cracks at fastener holes , 2009 .

[2]  Carlo Atzeni,et al.  Structural static testing by interferometric synthetic radar , 2000 .

[3]  Shen-En Chen,et al.  Integrated Remote Sensing and Visualization (IRSV) System for Transportation Infrastructure Operations and Management: Phase One, Volume One, Summary Report , 2009 .

[4]  Larry D. Olson,et al.  Innovations in Bridge Superstructure Condition Assessment with Sonic and Radar Methods , 2010 .

[5]  Andrzej S. Nowak,et al.  Michigan Deck Evaluation Guide , 2000 .

[6]  S. Aronoff,et al.  Remote Sensing for GIS Managers , 2005 .

[7]  Carmelo Gentile,et al.  Radar-based measurement of deflections on bridges and large structures , 2010 .

[8]  Dwayne Harris,et al.  Practical Evaluation of Bridge Deck Reinforcement Corrosion Using Ground Penetrating Radar, Half-Cell, and Sounding , 2010 .

[9]  David Coyne,et al.  Lateral Image Degradation in Terrestrial Laser Scanning , 2009 .

[10]  Vincenzo Barrile,et al.  Application of radar technology to reinforced concrete structures: a case study , 2005 .

[11]  Carlo Atzeni,et al.  Structural testing of Historical Heritage Site Towers by microwave remote sensing , 2009 .

[12]  Mid Glamorgan,et al.  Detection of air blisters and crack propagation in FRP strengthened concrete elements using infrared thermography , 2002 .

[13]  Joseph E. Krajewski,et al.  Bridge Inspection and Interferometry , 2006 .

[14]  Soheil Nazarian,et al.  SHRP 2 Validation Study of Performance of NDT Technologies in Identification and Characterization of Concrete Bridge Deck Deterioration , 2010 .

[15]  Irena Hajnsek,et al.  The potential of InSAR for quantitative surface parameter estimation , 2005 .

[16]  R. Ghanem,et al.  Damage Detection in Urban Areas by SAR Imagery , 2000 .

[17]  Carlo Atzeni,et al.  Interferometric radar vs. accelerometer for dynamic monitoring of large structures: An experimental comparison , 2008 .

[18]  Uwe Soergel,et al.  Feature Extraction and Visualization of Bridges Over Water From High-Resolution InSAR Data and One Orthophoto , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[19]  Colorado Colorado,et al.  AMERICAN SOCIETY OF CIVIL ENGINEERS , 2010 .

[20]  François Hild,et al.  Digital image correlation analysis of crack behavior in a reinforced concrete beam during a load test , 2006 .

[21]  P. Arias,et al.  Historic bridge modelling using laser scanning, ground penetrating radar and finite element methods in the context of structural dynamics , 2009 .

[22]  Lawrence L. Sutter,et al.  The State-of-the-Practice of Modern Structural Health Monitoring for Bridges: A Comprehensive Review , 2010 .

[23]  Nancy DelGrande,et al.  Delamination detection in reinforced concrete using thermal inertia , 1998, Smart Structures.

[24]  Ueli Angst,et al.  Critical Chloride Content in Reinforced Concrete: A Review , 2009 .

[25]  Francesco Aymerich,et al.  Assessment of NDT interferometric techniques for impact damage detection in composite laminates , 2006 .

[26]  Erik M. Johansson,et al.  Improved ground-penetrating radar, bridge decks , 1993 .

[27]  David A. Cremers,et al.  The Analysis of Metals at a Distance Using Laser-Induced Breakdown Spectroscopy , 1987 .

[28]  Edward M. Mikhail,et al.  Detection and sub-pixel location of photogrammetric targets in digital images☆ , 1984 .

[29]  M Moore,et al.  PHENOMENOLOGY STUDY OF HERMES GROUND-PENETRATING RADAR TECHNOLOGY FOR DETECTION AND IDENTIFICATION OF COMMON BRIDGE DECK FEATURES , 2001 .

[30]  Christiane Maierhofer,et al.  Radar investigation of masonry structures , 2001 .

[31]  K. V. S. Badarinath,et al.  Sub-pixel fire detection using Landsat-TM thermal data , 2002 .

[32]  Stuart Robson,et al.  Close Range Photogrammetry: Principles, Methods and Applications , 2006 .

[33]  Hiroshi Suemasu,et al.  Damage detection of C/C composites using ESPI and SQUID techniques , 2005 .

[34]  E. Falkner Aerial mapping : methods and applications , 1995 .

[35]  Antonio Galgaro,et al.  Contactless recognition of concrete surface damage from laser scanning and curvature computation , 2009 .

[36]  Devin K. Harris,et al.  Remote Sensing Technologies for Detecting Bridge Deterioration and Condition Assessment , 2010 .

[37]  David Schaub,et al.  Altarum Restricted Use Technology Study: Interim Report: Deliverable 2.1: Electro-Optical Sensors for Transportation Applications of the Restricted Use Technology Study , 2005 .