Automatic concrete health monitoring: assessment and monitoring of concrete surfaces

To predict the degradation of concrete structures is extremely challenging. The typical approach combines periodic visual inspections with required non-destructive tests. However, this methodology only discretely evaluates few areas of the structure, being also time consuming and subject to human error. Therefore, a new method designated ‘automatic concrete health monitoring’ is herein presented which aims at automatically characterising and monitoring the state of conservation of concrete surfaces by combining photogrammetry, image processing and multi-spectral analysis. The method was designed to (i) characterise crack pattern, displacement and strain fields; (ii) map damages and (iii) assess and define restoration tasks.

[1]  A. A. C. Meneguette.  EVALUATION OF METRIC CAMERA PHOTOGRAPHY FOR MAPPING AND CO‐ORDINATE DETERMINATION , 2006 .

[2]  O R Kolbl.  METRIC OR NON-METRIC CAMERAS , 1976 .

[3]  C. Maierhofer,et al.  MULTI-SPECTRAL DATA ACQUISITION AND PROCESSING TECHNIQUES FOR DAMAGE DETECTION ON BUILDING SURFACES , 2006 .

[4]  C. Fraser,et al.  An Operational Application of Automatic Feature Extraction: The Measurement of Cracks in Concrete Structures , 2002 .

[5]  Eduardo Júlio,et al.  Characterisation of concrete cracking during laboratorial tests using image processing , 2012 .

[6]  R. Jiang,et al.  A novel network control method for photogrammetric bridge measurement , 2007 .

[7]  Eduardo Júlio,et al.  Damage assessment on concrete surfaces using multi-spectral image analysis , 2013 .

[8]  C. Fraser,et al.  Monitoring the thermal deformation of steel beams via vision metrology , 2000 .

[9]  Eduardo Júlio,et al.  Laboratorial test monitoring applying photogrammetric post-processing procedures to surface displacements , 2011 .

[10]  David V. Jáuregui,et al.  Noncontact Photogrammetric Measurement of Vertical Bridge Deflection , 2003 .

[11]  Dierk Raabe,et al.  Experimental investigation of plastic grain interaction , 2002 .

[12]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[13]  Eduardo Júlio,et al.  Automatic crack monitoring using photogrammetry and image processing , 2013 .

[14]  Stefan Cantré,et al.  Applications of low-budget photogrammetry in the geotechnical laboratory , 2009 .

[15]  J. L. Lerma,et al.  Multitemporal thermal analysis to detect moisture on a building façade , 2011 .

[16]  J. L. Lerma.  Multiband Versus Multispectral Supervised Classification of Architectural Images , 2001 .

[17]  José Luis Lerma.  Automatic Plotting of Architectural Facades with Multispectral Images , 2005 .

[18]  Y. H. Huang,et al.  Optical strain gauge vs. traditional strain gauges for concrete elasticity modulus determination , 2010 .

[20]  Uwe Hampel,et al.  Photogrammetric techniques in civil engineering material testing and structure monitoring , 2006 .

[21]  Paul Fieguth,et al.  Segmentation of buried concrete pipe images , 2006 .

[22]  M. Hemmleb,et al.  DAMAGE DETECTION ON BUILDING SURFACES WITH MULTI-SPECTRAL TECHNIQUES , 2005 .

[23]  Mário Caetano,et al.  Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images , 2009 .

[24]  J. Lange,et al.  CRACK DETECTION AT CONCRETE CONSTRUCTION UNITS FROM PHOTOGRAMMETRIC DATA USING IMAGE PROCESSING PROCEDURES , 2006 .

[25]  F. Marazzi,et al.  Traditional vs innovative structural health monitoring of monumental structures: A case study , 2011 .

[26]  Kenneth R. White,et al.  Close-range photogrammetry applications in bridge measurement: Literature review , 2008 .

[27]  S. I. Granshaw,et al.  BUNDLE ADJUSTMENT METHODS IN ENGINEERING PHOTOGRAMMETRY , 2006 .

[28]  Shuji Hashimoto,et al.  Image‐Based Crack Detection for Real Concrete Surfaces , 2008 .

[29]  Riccardo Roncella,et al.  Analysis of the failure mechanisms of a weak rock through photogrammetrical measurements , 2008, CP 2013.

[30]  H.M. Wechsler,et al.  Digital image processing, 2nd ed. , 1981, Proceedings of the IEEE.

[31]  Yazid M. Sharaiha,et al.  Binary digital image processing - a discrete approach , 1999 .

[32]  Luigi Barazzetti,et al.  Crack measurement: Development, testing and applications of an automatic image-based algorithm , 2009 .