27 March 2015 New non-local lattice models for the description of wave dispersion in concrete
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Abstract
The propagation of longitudinal waves through concrete materials is strongly affected by dispersion. This is clearly indicated experimentally from the increase of phase velocity at low frequencies whereas many attempts have been made to explain this behavior analytically. Since the classical elastic theory for bulk media is by default non-dispersive, enhanced theories have been developed. The most commonly used higher order theory is the dipolar gradient elastic theory which takes into account the microstructural effects in heterogeneous media like concrete. The microstructural effects are described by two internal length scale parameters (g and h) which correspond to the micro-stiffness and micro-inertia respectively. In the current paper, this simplest possible version of the general gradient elastic theory proposed by Mindlin is reproduced through non-local lattice models consisting of discrete springs and masses. The masses simulate the aggregates of the concrete specimen whereas the springs are the mechanical similitude of the concrete matrix. The springs in these models are connecting the closest masses between them as well as the second or third closest to each other masses creating a non-local system of links. These non-neighboring interactions are represented by massless springs of constant stiffness while on the other hand one cannot neglect the significant mass of the springs connecting neighboring masses as this is responsible for the micro-inertia term. The major advantage of the presented lattice models is the fact that the considered microstructural effects can be accurately expressed as a function of the size and the mechanical properties of the microstructure.
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Sokratis N. Iliopoulos, Sokratis N. Iliopoulos, Demosthenes Polyzos, Demosthenes Polyzos, Dimitrios G. Aggelis, Dimitrios G. Aggelis, } "New non-local lattice models for the description of wave dispersion in concrete", Proc. SPIE 9436, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2015, 94360C (27 March 2015); doi: 10.1117/12.2076953; https://doi.org/10.1117/12.2076953
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