Form finding of cable-membrane structures with flexible frames: Finite element implementation and application to surface accuracy analysis of umbrella-like rib-mesh reflectors
IF 4 2区 工程技术Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Shiran Zhu , Ruiwen Guo , Xin Jin , Xiaofei Ma , Jinxiong Zhou , Ning An
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引用次数: 0
Abstract
Deployable rib-mesh reflector antennas, known for their ultralight nature and high deployment-to-stowage ratio, have been attracting attention from both the aerospace industry and academia. Form finding is a critical step in determining the equilibrium shape of the reflector under a specific internal stress distribution, which is a prerequisite in evaluating the surface accuracy of these antennas. This paper presents a comprehensive methodology for iteratively implementing the nonlinear finite element method for form finding of cable-membrane structures supported by flexible frames. The method is integrated into the commercial finite element code ABAQUS with Python scripts, and its accuracy and efficiency are validated through a few benchmark examples. Subsequently, the proposed method is applied to analyze the surface accuracy of umbrella-like rib-mesh reflector antennas. The effect of key design parameters such as the number and rigidity of ribs, the magnitude and anisotropy of membrane stress, and the amount of pretension force in boundary cables on the antenna’s surface accuracy has been highlighted. The effort not only establishes a robust and user-friendly strategy for form finding of cable-membrane structures supported by flexible frames but also provides valuable insights into the surface accuracy of umbrella-like rib-mesh reflector antennas. To facilitate the application of the FEM-based form-finding method, the source code for this paper is publicly available via a permanent link on GitHub https://github.com/SCU-An-Group/FEM-based-Form-Finding.
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.