Damage prediction via nonlinear ultrasound: A micro-mechanical approach Melchor Rodríguez, Juan Manuel Parnell, W. J. Bochud, Nicolás Peralta, L. Rus Carlborg, Guillermo Non-destructive evaluation Nonlinear elasticity Ultrasound Homogenization Micro-cracks Nonlinear acoustics Supplementary data associated with this article can be found, in the online version, at https://doi.org/10.1016/j.ultras.2018.10.009. All results obtained within the paper can be reproduced using formulae provided. Nonlinear constitutive mechanical parameters, predominantly governed by micro-damage, interact with ultrasound to generate harmonics that are not present in the excitation. In principle, this phenomenon therefore permits early stage damage identification if these higher harmonics can be measured. To understand the underlying mechanism of harmonic generation, a nonlinear micro-mechanical approach is proposed here, that relates a distribution of clapping micro-cracks to the measurable macroscopic acoustic nonlinearity by representing the crack as an effective inclusion with Landau type nonlinearity at small strain. The clapping mechanism inside each micro-crack is represented by a Taylor expansion of the stress-strain constitutive law, whereby nonlinear terms arise. The micro-cracks are considered distributed in a macroscopic medium and the effective nonlinearity parameter associated with compression is determined via a nonlinear Mori-Tanaka homogenization theory. Relationships are thus obtained between the measurable acoustic nonlinearity and the Landau-type nonlinearity. The framework developed therefore yields links with nonlinear ultrasound, where the dependency of measurable acoustic nonlinearity is, under certain hypotheses, formally related to the density of micro-cracks and the bulk material properties. 2020-05-19T11:30:18Z 2020-05-19T11:30:18Z 2018-10-28 journal article J. Melchor et al. Damage prediction via nonlinear ultrasound: A micro-mechanical approach. Ultrasonics 93 (2019) 145–155 [https://doi.org/10.1016/j.ultras.2018.10.009] http://hdl.handle.net/10481/62124 10.1016/j.ultras.2018.10.009 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España Elsevier