Potential of Multi-temporal InSAR Techniques for Bridges and Dams Monitoring

Abstract The aim of this paper is twofold. Firstly, to present a survey of the actual and most advanced methods for man-made structures monitoring, more specifically dams and bridges. Theoretical and technical aspects of these methodologies are presented and discussed focusing on innovative inspection methods and on the opportunities that could deliver. Secondly, to identify the opportunities that could potentially improve the inspections and maintenance processes, being the satellite-based monitoring, using radar imagery, recognized as viable source of independent information products that may be used to remotely monitor the health of these specific man-made structures. By applying Multi-temporal InSAR processing techniques to a series of radar images over the same region, it is possible to detect vertical movements of structure systems on the ground in the millimeter range, and therefore, identify abnormal or excessive movement indicating potential problems requiring detailed ground investigation. In this paper it is clearly demonstrated that with the new high-resolution synthetic aperture radar satellites scenes, InSAR technology may be particular useful as hot spot indicator of relative deformations structures over large areas, making possible to develop interferometric based methodologies for structural health monitoring. From a technological standpoint, this approach represents a substantial evolution over the current state-of-the-art.

[1]  Andrew Hooper,et al.  A multi‐temporal InSAR method incorporating both persistent scatterer and small baseline approaches , 2008 .

[2]  Teng Wang,et al.  Repeat-Pass SAR Interferometry With Partially Coherent Targets , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Andrew Hooper,et al.  Phase unwrapping in three dimensions with application to InSAR time series. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[4]  Hui Lin,et al.  Subsidence Monitoring of Tianjin Suburbs by TerraSAR-X Persistent Scatterers Interferometry , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[5]  Carlo Atzeni,et al.  Dynamic Monitoring of Bridges Using a High-Speed Coherent Radar , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Jiang Jianjing,et al.  Study for Real-time Monitoring of Large-Span Bridge Using GPS , 2002 .

[7]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[8]  Lawrence L. Sutter,et al.  An Evaluation of Commercially Available Remote Sensors for Assessing Highway Bridge Condition , 2010 .

[9]  Dario Tarchi,et al.  SAR interferometry for structural changes detection: a demonstration test on a dam , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).

[10]  Arturo E. Schultz,et al.  Bridge Health Monitoring and Inspections – A Survey of Methods , 2009 .

[11]  Joaquim J. Sousa,et al.  Multi-temporal SAR interferometry reveals acceleration of bridge sinking before collapse , 2013 .

[12]  Alison B. Flatau,et al.  Review Paper: Health Monitoring of Civil Infrastructure , 2003 .

[13]  Keith Worden,et al.  An Overview of Intelligent Fault Detection in Systems and Structures , 2004 .

[14]  Daniel Cusson,et al.  Remote Monitoring of Bridges From Space , 2012 .

[15]  Yngvar Larsen,et al.  Displacement monitoring at Svartevatn dam with interferometric SAR , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[16]  Beatrice E Hunt,et al.  Monitoring Scour Critical Bridges , 2009 .

[17]  A M Shirole,et al.  PLANNING FOR A COMPREHENSIVE BRIDGE SAFETY ASSURANCE PROGRAM , 1991 .

[18]  Charles R. Farrar,et al.  A summary review of vibration-based damage identification methods , 1998 .

[19]  Ashutosh Bagchi,et al.  Automated Bridge Condition Assessment with Hybrid Sensing , 2013 .

[20]  Jean-Marie Becker.  LEVELLING OVER THE ÖRESUND BRIDGE AT THE MILLIMETRE LEVEL , 2002 .

[21]  J. Valença,et al.  Applications of photogrammetry to structural assessment , 2012, Experimental Techniques.

[22]  Xiaoli Ding,et al.  Monitoring of Bridge Deformation with InSAR: An Experimental Study , 2010 .

[23]  B. Kampes.  Displacement parameter estimation using permanent scatterer interferometry , 2005 .

[24]  L. Taşçi,et al.  Deformation monitoring in steel arch bridges through close-range photogrammetry and the finite element method , 2015, Experimental Techniques.

[25]  Teng Wang,et al.  Time-Series InSAR Applications Over Urban Areas in China , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[26]  Milan Talich,et al.  The Application of the Ground-based InSAR Technique for the Deformation Monitoring of Concrete Hydropower Dam Orlík on Vltava River , 2014 .

[27]  G. Sadowy,et al.  Status of a UAVSAR designed for repeat pass interferometry for deformation measurements , 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..

[28]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Keith Worden,et al.  An introduction to structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[30]  A. Hooper,et al.  Recent advances in SAR interferometry time series analysis for measuring crustal deformation , 2012 .

[31]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[32]  J Bakker,et al.  Maintenance management from an economical perspective , 2006 .