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  1. Pubblicazioni

DIC technique for experimental validation of higher order numerical models

Articolo
Data di Pubblicazione:
2024
Abstract:
This paper presents an adaptation to the Digital Image Correlation (DIC) technique to aid and improve standard measurement methods in experimental mechanics. The practical application is demonstrated by the validation of the Cosserat Continuum model, using small-scale masonry specimens. Numerical models, such as the Cosserat continuum, play an important role in the identification and description of the mechanical behaviour of structures. Especially when it comes to anisotropic and quasi-brittle materials like masonry, these models are needed to evaluate significant aspects like performance, safety, or the effects of various strengthening interventions. The experimental investigation to validate a numerical model is not always straightforward and several of them remain theoretical. Addressing this, the experimentation presented in this paper evaluates the Cosserat identification in shear, where along with simple shear deformation, rigid rotations, micro rotations and micro couples are also exhibited. With such complex deformations, conventional techniques, such as strain gauges, or extensometers can no longer be adopted. The adapted DIC allows the quantification of these deformation data and validates the numerical model.
Tipologia CRIS:
1.1 Articolo su Rivista
Keywords:
Masonry; Cosserat continuum model; Digital image correlation technique; DIC; Experimental mechanics; Higher-order; Measurement methods; Small scale; Numerical models
Elenco autori:
Priya Thatikonda, Nandini; Baraldi, Daniele; Boscato, Giosue; Cecchi, Antonella
Autori di Ateneo:
BARALDI DANIELE
BOSCATO GIOSUE'
CECCHI ANTONELLA
THATIKONDA NANDINI PRIYA
Link alla scheda completa:
https://air.iuav.it/handle/11578/353892
Link al Full Text:
https://air.iuav.it//retrieve/handle/11578/353892/290016/AIVELA%20conf%202023.pdf
Pubblicato in:
JOURNAL OF PHYSICS. CONFERENCE SERIES
Journal
Progetto:
New Insights in the Mechanical Modeling of Cultural Heritage for Sustainable Restoration: Green Composites and Nano-Technologies (GreNaTe)
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URL

https://iopscience.iop.org/article/10.1088/1742-6596/2698/1/012022/pdf
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