Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)

Topological Optimization of Random Distributed Points

Authors
Dong Xin, Liu Hongjun, Yao Leijiang, Ding You
Corresponding Author
Dong Xin
Available Online November 2019.
DOI
10.2991/pntim-19.2019.62How to use a DOI?
Keywords
Structural Design; Topology; Random Points; Optimization
Abstract

Modern structural design achieves a lighter and more efficient structure by mimicking the natural structure of insects, plants and microorganisms. There are many masters in nature, such as nests, spiders, dragonflies, ants, etc. In this paper, the topology optimized by mimicking spiders and bacteria, the load point or structural coordinate point are simulated into scattered random points, then search these points like bacteria looking for food and connect the points together as spiders build nets in the space, and control the topological structures based on parameter control. This bionic topology method can achieve synchronization of structural design and structural optimization.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
Series
Atlantis Highlights in Engineering
Publication Date
November 2019
ISBN
978-94-6252-829-1
ISSN
2589-4943
DOI
10.2991/pntim-19.2019.62How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dong Xin
AU  - Liu Hongjun
AU  - Yao Leijiang
AU  - Ding You
PY  - 2019/11
DA  - 2019/11
TI  - Topological Optimization of Random Distributed Points
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 304
EP  - 306
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.62
DO  - 10.2991/pntim-19.2019.62
ID  - Xin2019/11
ER  -