4.7 Article

An efficient method for shape and topology optimization of shell structures

Journal

Publisher

SPRINGER
DOI: 10.1007/s00158-022-03213-0

Keywords

Shape optimization; Topology optimization; Level set method; Trimmed quadrilateral shell meshes; Polygonal shell elements; Assumed strains

Funding

  1. National Research Foundation of Korea (NRF) - Korea Government (MSIT) [2019R1A4A1020715]
  2. National Research Foundation of Korea [2019R1A4A1020715] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

This paper proposes a novel method for shape and topology optimization of shell structures. By utilizing gradient and level set techniques, the method can minimize the compliance of shell structures under volume constraints and obtain optimal designs with clear boundaries.
In this paper, a novel method is proposed for shape and the topology optimization of shell structures. A gradient-based shape optimization method and a level set (LS)-based topology optimization method are employed to minimize the compliance of shell structures under volume constraints. During the optimization process, the shell mid-surface of a background quadrilateral shell (QS) mesh is iteratively moved to an optimal shape using a shape gradient function. In the optimization iterations, trimmed QS meshes are generated to obtain an optimal topology by cutting the background QS mesh on an evolving surface with the zero-isolines of an LS function. Polygonal shell elements with assumed strains are used for the trimmed QS elements created along the boundaries of shell structures. Numerical results show that the present shape and topology optimization method is efficient and effective to obtain an optimal design of shell structures with clear boundaries.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available