Abstract:An understanding of inertial cavitation is crucial for biological and engineering applications such as non-invasive tissue surgeries and the mitigation of potential blast injuries. However, predictive modeling of inertial cavitation in biological tissues is hindered by the difficulties of characterizing fluids and soft materials at high strain rates, and the computational cost of calibrating biologically-relevant viscoelastic models. By incorporating a reduced-order model of inertial cavitation in the inertial… Show more
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