1401 Structural and Multidisciplinary Optimization Considering Nonlinear Behaviour

Junji Kato, Tohoku University
Oded Amir, Israel Institute of Technology
Mathias Wallin, Lund University
Mingdong Zhou, Shanghai Jiao Tong University
Peter Dunning, University of Aberdeen
Ekkehard Ramm, University of Stuttgart
Most physical phenomena in engineering design are inherently nonlinear by nature. However, the majority of current computational design methodologies that are based on optimization and numerical modelling consider simplified linear responses. This triggers broad interests in formulating and developing effective computational approaches for structural and multidisciplinary design optimization that rely on complex nonlinear  models. The demands come from various engineering fields, including for example solid mechanics, fluid mechanics, fluid-structure interaction and thermo-mechanics. Examples of relevant design methodologies are topology optimization, shape optimization, sizing optimization, material design and multi-scale optimization.

This Minisymposium is devoted to the latest developments and applications of structural and multidisciplinary optimization under nonlinear behavior and topics of interest  that include, but are not limited to:

·        Structural sizing, shape and topology optimization with nonlinear responses – geometrical, material, contact etc.
·        Multidisciplinary and multi-scale optimization considering nonlinear behavior
·        Design optimization of heterogeneous materials, composites, polymers, shape memory alloys with nonlinear properties etc.
·        Design optimization considering complex nonlinear manufacturing processes, e.g. additive manufacturing
·        Material and geometrical nonlinearity in material design and optimization
·        Nonlinear material parameter identification and inverse problems
·        Optimization of coupled and transient problems with nonlinearity
·        Optimization in fluid mechanics considering nonlinear behavior
·        Design optimization for nonlinear Fluid-Structure Interaction (FSI) problems