The basic values of material parameters include yield strength and hardening exponent.
The identification methodology is capable of determining material parameters, including damping, as well as the axial load from few, spatially concentrated measurements.
The corresponding effective material parameters, including the dynamic density and the stiffness tensor, are obtained by applying a computational homogenization approach.
It was found that several intrinsic material parameters, including V e, d i, W a − W c (the difference between the work functions of the anode and cathode), influence the programming time of the virgin Ag/GeS2/W cells.
This practical approach is presented by examining an actual cylindrical mine pillar in a copper mine and taking into account uncertainties in ore pillar material parameters including modulus, Poisson's ratio, density and uniaxial compressive strength.
Various material parameters, including elastic parameters, recovery deformation and energy-dissipation capacity, are uniquely determined by the value of H/Er, so that they can be estimated from a residual indent trail.
Results are presented for a wide range of material parameters, including noteworthy observations of a characteristic crack velocity at which the macroscopic toughness becomes independent of the material rate sensitivity.
The characteristics of velocity gradient jumping discontinuity are studied in pipe flow of a Johnson Segalman fluid model, which allows for the non-monotonic relationship between the shear stress and velocity gradient in a simple shear flow for a certain domain range of the material parameters, including slip parameter, Weissenberg number and ratio of viscosities.
Results show that given the basic information about the fracture toughness of the material, the DDSHM is able to predict important material parameters, including the load at initiation of cracking, damage growth rate, and the resulting effect on the macroscopic stiffness.
