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Description
The study of response of various materials to intense dynamic loading events,

such as shock loading due to high-velocity impacts, is extremely important in a wide

variety of military and industrial applications. Shock loading triggers extreme states,

leading to high pressures and strain rates, and neglecting strength is a typical

approximation under such conditions.

The study of response of various materials to intense dynamic loading events,

such as shock loading due to high-velocity impacts, is extremely important in a wide

variety of military and industrial applications. Shock loading triggers extreme states,

leading to high pressures and strain rates, and neglecting strength is a typical

approximation under such conditions. However, recent results have shown that strength

effects are larger than expected, so they must be taken into account. Recently,

hydrodynamic instabilities, the most common being the Rayleigh-Taylor (RTI) and

Richtmyer-Meshkov (RMI) instabilities, have been used to infer the dynamic strength of

materials at high pressure conditions. In our experiments and simulations, a novel RMI

approach is used, in which periodic surface perturbations are made on high purity

aluminium target, which was laser ablated to create a rippled shock front. Due to the

slow linear growth rate of RMI, the evolution of the perturbations on the back surface of

the sample as a result of the rippled shock can be measured via Transient Imaging

Displacement Interferometry (TIDI). The velocity history at the free surface was

recorded by spatially resolved laser velocimetry. These measurements were compared

with the results from the simulations, which were implemented using rate independent

and rate dependent material models, to characterize the dynamic strength of the

material. Simulations using the elastic-perfectly plastic model, which is rate

independent, failed to provide a value of dynamic yield strength that would match

experimental measurements of perturbation amplitudes. The Preston-Tonks-Wallace

(PTW) model, which is rate dependent model, worked well for aluminium. This model

was, in turn, used as a reference for calibrating the rate dependent Steinberg-Lund

model and the results from simulations using the calibration models were also compared

to experimental measurements.
ContributorsGopalakrishnan, Ashish (Author) / Peralta, Pedro (Thesis advisor) / Rajagopalan, Jagannathan (Committee member) / Solanki, Kiran (Committee member) / Arizona State University (Publisher)
Created2017