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Masonry elastic characteristics assessment by thermographic images

  • Stochastics and Probability in Engineering Mechanics
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Abstract

In the present paper, the elastic mechanical characteristics of masonry samples, whose texture is not visible due to plaster, are estimated by means of homogenization technique applied through thermographic images. In particular, three masonry samples with different textures have been purposely built. The chosen textures were periodic, quasi-periodic and random. The images, taken with a thermocamera, are analyzed in order to identify the texture. An homogenization technique, based on the application of appropriate boundary conditions, is used. The mechanical characteristics, obtained using the textures identified using photographic images and thermographic images, are compared. The influence of some parameters (such as the dimensions of the structural element used in morphological operator) are analyzed. The obtained results permit to point out the reliability of the masonry elastic characteristics assessment by the proposed procedure.

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Acknowledgements

The first two authors gratefully acknowledge the support received from the Italian Ministry of University and Research, through the PRIN 2015 funding scheme (Project 2015 JW9NJT—Advanced mechanical modelling of new materials and structures for the solution of 2020 Horizon challenges).The third author is a member of the "Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni" (GNAMPA) of the "Istituto Nazionale di Alta Matematica" (INdAM) and has been partially supported by the projects "Ricerca di Base" 2017 and 2018 of Univ. of Perugia and N. 2017.0273.021 of Fond. Cassa di Risparmio di Perugia (Coord. G. Vinti). The authors thank the Company Edilsellano S.n.c. for the support relative to the building of the masonry walls.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Perugia, via G. Duranti 93, 06125, Perugia, Italy

    Federico Cluni & Vittorio Gusella

  2. Department of Mathematics and Informatics, University of Perugia, Via Vanvitelli 1, 06123, Perugia, Italy

    Gianluca Vinti

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  1. Federico Cluni
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  2. Vittorio Gusella
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  3. Gianluca Vinti
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Correspondence to Vittorio Gusella.

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Cluni, F., Gusella, V. & Vinti, G. Masonry elastic characteristics assessment by thermographic images. Meccanica 54, 1339–1349 (2019). https://doi.org/10.1007/s11012-019-00982-9

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