Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 331-338, 2015
https://doi.org/10.5194/isprsarchives-XL-5-W4-331-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
18 Feb 2015
NON-CONTACT PHOTOGRAMMETRIC METHODOLOGY TO EVALUATE THE STRUCTURAL HEALTH OF HISTORICAL CONSTRUCTIONS
L. J. Sánchez-Aparicio1, A. Villarino1, J. García-Gago2, and D. González-Aguilera1 1Department of Cartographic and Land Engineering; High School of Ávila, University of Salamanca, Hornos Caleros, 50, 05003, Ávila, Spain
2Department of Construction and Agronomy, Architectural Area, Polytechnic School of Zamora, University of Salamanca, Avda, Cardenal Cisneros, 34, Zamora 49022, Spain
Keywords: Photogrammetry, image-based modelling, digital image correlation, computer-vision, cultural heritage, vernacular heritage, masonry structures, finite element modelling Abstract. Accurate studies of cultural heritage structures usually require the application of combined techniques to understand its structural behaviour. It is in this context, where the article present a set of procedures based on the dual combination of photogrammetric methodologies (image-based modelling and digital image correlation) and the finite element method to understand the structural behaviour of these structures. Through the interpretation of the different obtained products, by the defined approach, it is possible to estimate and evaluate the causes of the structural damage that the analysed infrastructure can suffer and also design subsequent restoration mechanisms, always from a perspective of minimal intrusion to the structure.

This case of study aims to validate the methodology presented, using as an example a case of vernacular architecture (a dome) in Sejas de Aliste (Zamora, Spain).

Conference paper (PDF, 1335 KB)


Citation: Sánchez-Aparicio, L. J., Villarino, A., García-Gago, J., and González-Aguilera, D.: NON-CONTACT PHOTOGRAMMETRIC METHODOLOGY TO EVALUATE THE STRUCTURAL HEALTH OF HISTORICAL CONSTRUCTIONS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W4, 331-338, https://doi.org/10.5194/isprsarchives-XL-5-W4-331-2015, 2015.

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