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El. knyga: Smooth Topological Design of Continuum Structures

(Deakin University, Australia), (Deakin University, Australia)
  • Formatas: 224 pages
  • Išleidimo metai: 21-Jan-2025
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781040273166
Kitos knygos pagal šią temą:
Smooth Topological Design of Continuum StructuresDidesnis paveikslėlis
  • Formatas: 224 pages
  • Išleidimo metai: 21-Jan-2025
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781040273166
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Smooth Topological Design of Continuum Structures focuses on the use of a newly-proposed topology algorithm for structural optimization called Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT).

The book presents the basic theory of SEMDOT and explains connections between this method and the corresponding optimizers. The method is used to address the long-standing jagged edge problem facing classical topology optimization algorithms and is presented as a perfect tool for combining additive manufacturing and topology optimization, which are increasingly coupled together to produce new part designs. A range of representative case studies are also included to illustrate applications.

This serves as a textbook and reference for graduate and senior undergraduate students in the area, as well as engineers in the structural optimization field. Full modifiable MATLAB codes for each chapter are available online.



This presents a new topology algorithm for structural optimization called Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT). It presents the basic theory of SEMDOT, explains its connections with the corresponding optimizers, and uses it to address the jagged edge problem facing classical topology optimization algorithms.

1. Introduction.
2. Topology Optimization Algorithms.
3. Smooth-Edged Material Distribution for Optimizing Topology (SEMDOT) Algorithm.
4. Optimizers.
5. Stiffness Maximization Problems.
6. Compliant Mechanism Design Problems.
7. Heat Conduction Problems.
8. Dynamic Problems.
9. Maximum Stress Minimization Problems.
10. Self-Supporting Design for Additive Manufacturing.
11. Homogenization Topology Optimization Problems.
12. Closing Remarks. Appendix A. Comparison with Existing Algorithms. Appendix B. Zhou-Rozvany Problem. Appendix C. MATLAB-Based SEMDOT Software Packages.

Yun-Fei Fu is a postdoctoral fellow at University of Alberta, Canada.

Bernard Rolfe is a professor of Advanced Manufacturing at the School of Engineering, Deakin University.
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