Plenary and Semi-Plenary Lectures
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| Title: |
| Automatic Material Characterization for Inelastic Finite Element Analysis |
| Lecturer: |
| Tomonari Furukawa |
| Abstract: |
With the advance of material science and engineering study, various materials can be tailored to meet specific needs such as high strength and stiffness. The performance of a structure is, however, highly sensitive to the mechanical behavior of the material. As the expectation of structural performance becomes more demanding, the need for reliable prediction of the mechanical behavior of materials has become ever more important, although the nonlinear mechanical behavior is complex, caused by a number of different microscopic effects.
In this lecture, a framework of automatic material characterization to allow reliable inelastic finite element analysis is presented. Based on the numerical-experimental approach, techniques proposed in the framework can predict structural behavior that well matches with experimental data even when the material is anisotropic. The techniques include ellipsoidal analysis using Singular Value Decomposition for determining elastic moduli, a multi-objective gradient-based method with Lagrange multipliers for identifying parameters of nonlinear material models and modeling of implicit constitutive laws. |
 Tomonari Furukawa received the B.Eng. in mechanical engineering from Waseda University, Japan, in 1990. He received the M.Eng.(Research) degree in mechanical engineering from the University of Sydney, Australia, in 1993 and Ph.D degree in quantum engineering and systems sciences from the University of Tokyo, Japan, in 1996.
He was an assistant professor (1995-1997) and lecturer (1997-2000) at the University of Tokyo and research fellow (2000-2002) at the University of Sydney before joining the University of New South Wales, Australia, where he is currently a senior lecturer. His primary areas of research are broadly classified into computational mechanics, robotics and the cross-disciplinary analysis and design of mechanical systems. In computational mechanics, his research interests include computational material modeling, computational and optimal design, and he works on theories of stochastic control, cooperative control and decentralized data fusion and control in the area of robotics. An example of the cross-disciplinary research, on the other hand, includes the development of a biologically inspired robot where various mechanics such as dynamics, kinematics, aerodynamics and materials mechanics need to be considered. He is a recipient of IACM Young Investigator Award and APACM Young Investigator Award of year 2004. |
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