A NURBS-based level set method for the manufacturing-oriented thermal buckling optimization of curvilinear fiber composite panels with cut-outs

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Haoqing Ding , Ruqi Sun , Haocheng Tian , Yutao Hu , Xin Zhang , Bin Xu
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引用次数: 0

Abstract

Laminate composite panels with arbitrary cut-outs in a thermal environment may suffer buckling failure because of thermal stress. To address this issue, a manufacturing-oriented thermal-buckling optimization model is proposed for the design of curvilinear fiber paths. Furthermore, instead of using the traditional finite element method (FEM) with high computational costs, a cut non-uniform rational basis spline (NURBS) element method was developed for the thermal buckling analysis of laminate composite panels with arbitrary cut-outs. In this method, a level-set function, segmented density interpolation formulas, and an artificial shear correction factor were developed to describe arbitrary cut-outs, to overcome localized eigenmodes, and to avoid shear locking. Furthermore, a NURBS-based level-set method was proposed to illustrate the curvilinear fiber paths. The norm of the gradient vector of the NURBS-based level-set function was used to express the gap/overlap constraint. Subsequently, a thermal buckling optimization framework with compliance and manufacturing constraints was formulated. The effectiveness of the proposed optimization framework was verified numerically.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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