Topology Optimization via L-Systems and Genetic Algorithms: Bioinspired Encoding for Generative Design

Providing a succinct overview of Lindenmayer system (L-system) topology optimization, this book focuses on the methods and theory underlying this novel bioinspired approach. Starting from basic principles, the book outlines how topology optimization can be utilized at the conceptual design stage and shows how it offers straightforward applicability to multi-objective and/or multi-physical industrial problems. Design strategies are clearly demonstrated using a host of case studies and real-world examples, and their potential challenges and solutions are discussed. Written from an optimization and design perspective, the authors both summarize the latest advances in this field and suggest potential avenues of research and development for future work. This will be the ideal resource for engineering practitioners, researchers, and students wanting to gain a new perspective on using topology optimization to improve product design.

Table of Contents:
1. Introduction; 2. Review of topology optimization models; 3. Introduction to L-systems and turtle graphics interpretation; 4. Spatial interpretation for the development of reconfigurable structures (SPIDRS); 5. Arrangement L-system interpretation; 6. Multiphysical applications; 7. Supplemental material; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E.

About the Author :
Brent R. Bielefeldt is a research engineer specializing in multidisciplinary design and optimization and adaptive structures. He received a Ph.D. in Aerospace Engineering from Texas A & M University (2020) and is a recipient of the Texas A & M Distinguished Graduate Student Award and a Postdoctoral Fellowship from the National Research Council. Darren J. Hartl is an Associate Professor of Aerospace Engineering at Texas A & M University with a history of multifunctional structures research that includes government laboratory and industry projects. He leads both experimental and theoretical development efforts and was the 2016 winner of the ASME Gary Anderson Early Achievement Award. Marcelo H. Kobayashi is a Professor at the University of Hawaii at Manoa. He received a Ph.D. in Mechanical Engineering and PhD in Mathematics from IST/TU Lisbon. He was runner-up in the 2003 Portuguese Young Investigator Award in Applied and Computational Mechanics and director of the Hawaii Open Supercomputing Center (2010-2012).