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Topology Optimization via L-Systems and Genetic Algorithms

Topology Optimization via L-Systems and Genetic Algorithms

Topology Optimization via L-Systems and Genetic Algorithms

Bioinspired Encoding for Generative Design
Brent R. Bielefeldt, Texas A & M University
Darren J. Hartl, Texas A & M University
Marcelo H. Kobayashi, University of Hawaii, Manoa
April 2025
Hardback
9781316515792
£125.00
GBP
Hardback

    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.

    • Provides a definitive, unified treatment of the various approaches to L-system topology optimization
    • Accessible to readers from various backgrounds, covering a range of examples
    • Defines topology optimization within the context of structural design and establishes the benefits and drawbacks that arise when using current approaches

    Product details

    April 2025
    Hardback
    9781316515792
    302 pages
    244 × 170 × 18 mm
    0.72kg
    Available

    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.
      Authors
    • Brent R. Bielefeldt , Texas A & M University

      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 , Texas A & M University

      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 , University of Hawaii, Manoa

      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).