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2024 | OriginalPaper | Chapter

Isogeometric Optimization of Structural Shapes for Robustness Based on Biomimetic Principles

Authors : Chunmei Liu, Eduardo Souza de Cursi, Renata Troian

Published in: Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling

Publisher: Springer International Publishing

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Abstract

This chapter delves into the critical aspect of shape optimization in engineering, emphasizing the importance of robustness against uncertainties. By drawing inspiration from nature, specifically the tree's biological growth, the authors introduce a novel approach to structural design. The Isogeometric Analysis (IGA) method is employed to accurately model and analyze the structural shapes, offering advantages over traditional methods. The paper focuses on the L-shape structure, optimizing its geometry to minimize strain concentration, particularly in weak areas. The use of the Latin Hypercube sampling and the NSGA-II optimization algorithm ensures a comprehensive and efficient exploration of the design space. The results demonstrate significant improvements in structural performance, highlighting the potential of bio-inspired design principles in practical applications.

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Title: Isogeometric Optimization of Structural Shapes for Robustness Based on Biomimetic Principles
Authors: Chunmei Liu
Eduardo Souza de Cursi
Renata Troian
Publisher: Springer International Publishing
Book: Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling
Print ISBN: 978-3-031-47035-6

Electronic ISBN: 978-3-031-47036-3

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-47036-3_6

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