Riveted Joint Numerical Design Calculation

Abstract The main objective of this paper is to present the model of rivet joint for numerical design calculation. The spring model, advantages, validation, and verification of the Compound‐Based Finite Element Method (CBFEM) for predicting the strength of rivet joints are presented. CBFEM has become the most widely used method for the analysis and design of joints in steel structures. It is the combination of the analytical component method for members, rivets, and the numerical finite element method (FEM). FEM is used to solve the distribution of internal forces in the connection. The plates are modeled using four‐node quadrangle shell elements. The dependent nonlinear springs are used to describe the behavior of components, bolts, welds or anchor bolts. Each component, product, has its own analysis model derived from its behavior. In the case of rivets, the shear force is transferred by friction between the two surfaces. Compared to normal bolts, the friction is controlled by the preload force. The final resistance is provided by the shear of the rivet and the bearing of the rivet and the plate after a plate slips. Class 8.8 and 10.9 preloaded bolt models are grouped into other models. So far, these models have been used for rivets with their material properties. In this paper, CBFEM is used to analyze the rivets. Experimental study of this joint has been carried out and presented in many papers. Then, the resistance of steel joints is calculated by the design specifications such as EN1993‐1‐8:2006. Validation compares the analytical and numerical solution with the experimental data, while verification uses comparison of computational solutions with high accuracy analytical or numerical solution.

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Journal
ce/papers
Published
2025-12-01
DOI
https://doi.org/10.1002/cepa.70133
Primary Topic
Engineering Structural Analysis Methods
Type
article
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Riveted Joint Numerical Design Calculation

Matyáš Kožich, František Wald
ce/papers
Engineering Structural Analysis Methods
article

Riveted Joint Numerical Design Calculation

Matyáš Kožich, František Wald
article en

Abstract

Abstract The main objective of this paper is to present the model of rivet joint for numerical design calculation. The spring model, advantages, validation, and verification of the Compound‐Based Finite Element Method (CBFEM) for predicting the strength of rivet joints are presented. CBFEM has become the most widely used method for the analysis and design of joints in steel structures. It is the combination of the analytical component method for members, rivets, and the numerical finite element method (FEM). FEM is used to solve the distribution of internal forces in the connection. The plates are modeled using four‐node quadrangle shell elements. The dependent nonlinear springs are used to describe the behavior of components, bolts, welds or anchor bolts. Each component, product, has its own analysis model derived from its behavior. In the case of rivets, the shear force is transferred by friction between the two surfaces. Compared to normal bolts, the friction is controlled by the preload force. The final resistance is provided by the shear of the rivet and the bearing of the rivet and the plate after a plate slips. Class 8.8 and 10.9 preloaded bolt models are grouped into other models. So far, these models have been used for rivets with their material properties. In this paper, CBFEM is used to analyze the rivets. Experimental study of this joint has been carried out and presented in many papers. Then, the resistance of steel joints is calculated by the design specifications such as EN1993‐1‐8:2006. Validation compares the analytical and numerical solution with the experimental data, while verification uses comparison of computational solutions with high accuracy analytical or numerical solution.

ce/papersVol. 8(6)
Czech Technical University in Prague (CZ)
Openalex Percentile: Top 41%
Engineering Structural Analysis Methods
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Riveted Joint Numerical Design Calculation — Matyáš Kožich, František Wald · ce/papers (2025) | TGRS Research Map | TGRS