Damage Quantification and Monitoring in Masonry Monuments through Digital Photogrammetry

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The measurement and monitoring of structural damages in masonry monuments is an important task in the field of conservation and restoration of architectonic heritage. Traditional surveying devices provide punctual measurements of the damage size and usually are contactdemanding, being an important limitation since risky systems are needed when structural problems appear in no accessible locations. In this field close-range Photogrammetry depict a valuable option. In this paper the dimensional analysis and temporal monitoring of crack is accomplished. Accurate 3D clouds of points defining the crack boundary are obtained in different dates. A quantification of the crack size in each date is obtained by shape parameters. This procedure allows detecting any displacement in ashlars and obtaining a feasible knowledge of the crack growth even when no fixed references are available to align 3D models obtained in different times.

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Periodical:

Edited by:

L. Garibaldi, C. Surace, K. Holford and W.M. Ostachowicz

Pages:

291-296

Citation:

J. Armesto et al., "Damage Quantification and Monitoring in Masonry Monuments through Digital Photogrammetry ", Key Engineering Materials, Vol. 347, pp. 291-296, 2007

Online since:

September 2007

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$38.00

[1] M. Pieraccini, G. Guidi, C. Atzeni: Journal of Cultural Heritage, Vol. 2 (2001), p.63.

[2] G. Guidi, J. A. Beraldin, C. Atzeni, IEEE Trans. on image processing, Vol. 13-3 (2004), p.370.

[3] P. Arias, J. Herráez, H. Lorenzo, C. Ordóñez: Comp. and Struct. Vol 83 (2005), p.1754.

[4] P. Benko, R. R. Martin, T. Varady: Computer Aided Design, Vol 33-11 (2001), p.839.

[5] A. Cardone, S. K. Gupta, M. Karnik: Journal of Computing and Information Science in Engineering, Transactions of the ASME, Vol. 3 (2003), p.109.

[6] M. Cooper, S. Robson, in: Close Range Photogrammetry And Machine Vision, edited by K. B. Atkinson, Whittles Publishing, Caithness, Scotland (2001) p.9.

[7] P.R. Wolf, B.A. Dewitt, in: Elements of Photogrammetry with Applications in GIS, edited by McGraw-Hill, EEUU (2000).

[8] S. Mason, A. Grün: Computer Vision and Image Understanding Vol. 61-3 (1995), p.454.

[9] K. Pottler, E. Lüpfert, G. H.G. Johnston, M. R. Shortis: J. of Solar Energy Engineering Vol. 127- 1 (2005), p.94.

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