Nanoscale material parameters (elastic modulus and hardness) were obtained using nanoindentation experiments.
Effects of geometrical and material parameters, elastic foundation and temperature on the nonlinear buckling behavior of shells are shown in obtained results.
The effects of different parameters are studied: material parameters (elastic properties of the adhesive, strength and toughness of the adhesive) and geometrical parameters (thickness of the adhesive, presence of a fillet, overlap length).
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.
This assumption disregards the contribution of the uncertainty in other material parameters, like the elastic modulus, which is more important than the compressive strength in slender masonry walls.
The characteristic material parameters of the elastic modulus E′, yield stress Y, interfacial shear strength s, and the scratch resistance p′m are discussed in relation to the Cu-content of the composites.
Under the simulated acid solutions, the corrosion depth near crack tips gradually grows with the increase of corrosion time, and finally the concrete microstructures are porous and loose and microcracks are developed, which will deteriorate concrete material parameters, such as elastic modulus and fracture toughness.
Input material parameters are limited to elastic properties and fracture toughness in modes I and II.
The classic material parameters, such as the elastic modulus and fracture energy release rate are employed for the determination of material response and failure in brittle material.
According to the proposed strategy, elastic material parameters are obtained from the results of diagonal compression tests, while a flat-jack test, purposely designed for in-situ investigations, is used to determine the material parameters governing the nonlinear behaviour.
The elastic material parameters are then estimated by correlating the numerical prediction to the experimental data, following the physical behaviour predicted by the augmented Hooke׳s law.
