A linearized multi-directional FE model for bolted connection design and analysis

IF 4 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2025-03-08 DOI:10.1016/j.advengsoft.2025.103906
Minh-Toan Nguyen , Semyung Wang
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引用次数: 0

Abstract

The bolted joint is one of the most common connection types used in structures and mechanical systems. Traditionally, bolted connections are designed using certain standards and assumptions to obtain initial designs. These initial designs are then analyzed using analytical or numerical methods to ensure safety conditions. Each of these methods has its advantages and disadvantages. The study presented in this paper introduces a multi-directional finite element (FE) based bolted joint model, which is particularly useful for the verification step using linear static analysis in bolted connection design. This model combines the advantages of both analytical and numerical methods to partially capture the bolted joint behavior in multiple directions and achieve a time-saving, easy-to-use solution with acceptable accuracy. Due to the linearized characteristics, the application of the model can also be expanded to modal analysis for general bolted connection structures. The proposed model was verified using previous findings from other authors, modal testing, and full 3D model analysis. The applications of the model were demonstrated as well as the pros and cons of the proposed approach were pointed out clearly.
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来源期刊
Advances in Engineering Software
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.
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