Multi-fidelity Analysis and Experimental Characterization of Muscular-Skeletal Structures Optimized via Genetic Programming
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© 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. In this work, we consider the use of an evolved Lindenmayer system (L-system) to determine structural layouts for elastic and multifunctional structures(material placement and functionality assignment), here focusing on the accuracy of a low-fidelity optimization approach as compared to high-fidelity methods and quantitative experimental characterization. Previous work on the optimization of adaptive and multifunctional structures has shown that methods based on genetic programming of branched and cellular topologies can be effective in determining non-intuitive solutions. Open-source scripted computer-aided drafting (CAD) methods are used to convert L-system formalized designs into 3-D bodies, and additive manufacturing is employed for fabrication of fully functional prototypes. We show that for a tensile inverter component, the results of all three assessments considered (low-fidelity and high-fidelity modeling and experimental characterization) are within 7% of each other.
author list (cited authors)
Hartl, D. J., Bielefeldt, B., Reich, G. W., & Beran, P. S.