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Emerging Topology and Shape Optimization Techniques in Computational Materials Design

Ahmad R Najafi, Drexel University

Julian Norato, University of Connecticut

Kai James, University of Illinois at Urbana-Champaign

Masoud Safdari, University of Illinois at Urbana-Champaign

Motivated by key advances in manufacturing techniques, the tailoring of materials with desired macroscopic properties has been the focus of active research in engineering and materials science over the past decade. For materials architected at length scales that can be controlled by the manufacturing process, the goal is to determine the optimal spatial layout of one or more constituent materials to achieve a desired macroscopic constitutive response. Topology and shape optimization methods provide a systematic means to achieve this goal. The objective of this symposium is to bring together researchers working on state-of-the-art topology and shape optimization techniques with direct application in materials design to exchange ideas, present novel developments and discuss recent advances. Topics of interest concern shape and topology optimization techniques, and they include, but are not limited to:

•    Multiscale design of materials
•    Design of lattice materials
•    Design of nonlinear materials
•    Reduced-order multiscale modeling for design
•    Simultaneous material and structure optimization
•    Optimization under uncertainty
•    Bioinspired design of composites
•    Design of metamaterials
•    Smart material design
•    Software