利用基于边界元的移动可变形空隙法优化压力加载的拓扑结构

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software Pub Date : 2024-06-20 DOI:10.1016/j.advengsoft.2024.103689

Weisheng Zhang , Honghao Tian , Zhi Sun , Weizhe Feng

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引用次数: 0

摘要

本文介绍了一种解决带压力负荷的拓扑优化问题的方法。该方法结合了移动可变形虚空（MMV）方法和边界元素法（BEM）。在这种方法中，压力边界使用 B-样条曲线明确描述，并与自由边界同时优化。在目前的方法中，不仅无需任何预定义的识别方案即可跟踪移动载荷边界，而且无需任何特殊的载荷插值方案即可将压力载荷精确地应用到结构中。我们通过几个二维数值实例来证明本方法的有效性和优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Topology optimization for pressure loading using the boundary element-based moving morphable void approach

This paper presents an approach for the topology optimization problem with pressure load. The approach is constructed by combining Moving Morphable Void (MMV) approach with Boundary Element Method (BEM). In this approach, the pressure boundary is explicitly described using B-spline curves and optimized simultaneously with free boundary. In the current approach, not only the moving load boundary is traced without any predefined identification scheme, but also the pressure load can be applied accurately to the structure without any needs for special load interpolation scheme. Several numerical examples in two dimensions are explored to demonstrate the effectiveness and advantages of the present approach.

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来源期刊

Advances in Engineering Software 工程技术-计算机：跨学科应用

CiteScore

7.70

自引率

4.20%

发文量

169

审稿时长

37 days

期刊介绍： The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.