设计相关荷载下大型结构拓扑优化的并行参数化水平集方法

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Peng Wei , Ben Cheng , Haoju Lin , Hui Liu
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引用次数: 0

摘要

本文提出了三维连续体结构在重力、离心和静水压力载荷作用下的拓扑优化框架。首先,利用非结构化网格的参数化水平集方法(PLSM)有效处理复杂的结构形状和边界条件。其次,采用并行计算技术,将形状函数作为PLSM的基函数,显著提高了计算效率。此外,本研究还全面分析了设计相关荷载,解决了复杂荷载条件下大型结构的拓扑优化问题。本研究克服了复杂的三维设计相关荷载问题研究的不足。旨在拓宽拓扑优化技术的应用范围,使其更适用于大型水下结构等工程实践。最后,几个3D实例证明了所提出的框架的效率、稳定性和产生创新结构设计的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A parallel parameterized level set method for large-scale structural topology optimization under design-dependent load
This paper proposes a topology optimization framework for three-dimensional continuum structures subjected to design-dependent loads, including gravity, centrifugal, and hydrostatic pressure loads. First, this study utilizes the parameterized level set method (PLSM) with unstructured meshes to effectively handle complex structural shapes and boundary conditions. Second, this work employs parallel computing techniques and uses the shape function as the basis function in PLSM to significantly enhance computational efficiency. Additionally, this study comprehensively analyzes design-dependent loads and addresses topology optimization of large-scale structures under complex load conditions. This study overcomes the lack of research on complicated 3D design-dependent load problems. It aims to broaden the application of topology optimization techniques, making them more applicable to engineering practices, such as large-scale underwater structures. Finally, several 3D examples demonstrate the proposed framework’s efficiency, stability, and ability to generate innovative structural designs.
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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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