Topology optimization considering Tsai–Wu yield criterion for composite materials

IF 2.2 3区 工程技术 Q2 MECHANICS
Andre Luis Ferreira da Silva, Ruben Andres Salas, Emilio Carlos Nelli Silva
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引用次数: 0

Abstract

The increasing popularity of composites reinforced with fiber has spurred the development of sophisticated additive manufacturing technologies, allowing for precise tailoring of fiber orientation for optimization purposes. Despite significant advancements in fiber orientation optimization, the key challenge posed by stress yield criteria still needs to be solved. This work presents a novel optimization approach, aiming to minimize structural volume while incorporating local stress constraints based on the Tsai–Wu criterion. The proposed NDFO-adapt method optimizes material distribution, fiber angles, and the penalization field. This optimization process involves multiple design variables, and new schemes are introduced to determine these variables using an optimization algorithm and adaptive continuations based on the structural grayscale. Numerical examples show the effectiveness of the proposed method, providing valuable insights for optimizing fiber-reinforced materials considering stress constraints with potential applications in the design of lightweight, high-strength structures.

Abstract Image

Abstract Image

考虑蔡武复合材料屈服准则的拓扑优化
随着纤维增强复合材料的日益普及,先进的增材制造技术也随之发展起来,从而可以精确调整纤维取向以达到优化目的。尽管在纤维取向优化方面取得了重大进展,但应力屈服标准带来的关键挑战仍有待解决。本研究提出了一种新颖的优化方法,旨在最小化结构体积,同时根据蔡武准则纳入局部应力约束。所提出的 NDFO 适应方法优化了材料分布、纤维角度和惩罚场。该优化过程涉及多个设计变量,并引入了新的方案,使用优化算法和基于结构灰度的自适应连续性来确定这些变量。数值示例显示了所提方法的有效性,为考虑应力约束的纤维增强材料优化提供了有价值的见解,有望应用于轻质高强度结构的设计。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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