Seiichiro Tsutsumi

Experimental observations have evidenced the insufficiency of yield surface definition via monotonic loading to guarantee adequate description of material behaviour under fatigue tests. Therefore, mechanical property characterisation through simple experimental tests such as uniaxial monotonic extension/compression is favoured, considering different responses due to cyclic loading. Herein, a phenomenological cyclic plasticity model is formulated to capture the correct generation of plastic defor

In order to describe cyclic plasticity phenomena plastic stretching within a yield surface has to be considered, whilst conventional elastoplastic constitutive equations are only capable of describing deformation behaviour for a stress path near the monotonic/proportional loading. The subloading surface model categorized in the unconventional plasticity model and describing a smooth elastic-plastic transition would be applicable to non-proportional loading process including cyclic loading behavi

In order to simulate mechanical fatigue phenomena represented by cyclic plasticity such as ratcheting and hysterisis loop, the plastic stretching within a yield surface has to be described, whilst the plastic strain is induced remarkably as the stress approaches the dominant yielding state. The traditional plastic constitutive equation, however, is capable of describing deformation behavior for the stress path only near the monotonic/proportional loading, since the inside of the yield surface is

We propose a method to identify the human face using a 3D gray scale image which combines a 3D image with a gray scale image. The proposed method can identify facial images which face in various directions. First, 3D positions, where the eyes and the tip of the nose are located, are estimated in the acquired 3D gray scale image. Next, the calibration of facial directions and brightness is performed. Due to facial images facing more to the right or the left, some parts of the calibrated data are