In a vast number of engineering fields like medicine,aerospace or robotics,materials are required to meet unusual performances that simple homogeneous materials
The pore configuration in porous medium is assumed to be the randomly distributed cube-like particles which can overlap each other in the periodic cubic domain,
This paper presents a simple nonparametric regression approach to data-driven computing in elasticity.We apply the kernel regression to the material data set,an