Empirical modeling of stress concentration factors using finite element analysis and artificial neural networks for the fatigue design of tubular KT‐joints under combined loading

Iqbal, Mohsin and Karuppanan, Saravanan and Perumal, Veeradasan and Ovinis, Mark and Nouman, Hina (2023) Empirical modeling of stress concentration factors using finite element analysis and artificial neural networks for the fatigue design of tubular KT‐joints under combined loading. Fatigue & Fracture of Engineering Materials & Structures, 46 (11). pp. 4333-4349. ISSN 8756-758X

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Abstract

The hotspot stress (HSS) approach for the fatigue design of tubular joints requires that peak HSS be known. Peak HSS in tubular joints is usually determined based on the stress concentration factor (SCF) estimated from empirical models developed through extensive experimental investigations and finite element analysis. While peak HSS usually occurs at a KT-joint's crown and saddle points, its location may change if the tubular joint is subjected to a combination of axial, in-plane bending, or out-of-plane bending loads. This study investigated the peak HSS and its location in a typical KT-joint subjected to the combined loading. Specifically, empirical models to determine the SCF around the brace axis have been developed using extensive finite element analysis and artificial neural networks (ANN) simulations. Less than 3% error was noticed between peak HSS determined through developed models and FEA. Hence, the ANN-based SCF equations and principle of superposition can be used to calculate peak HSS rapidly for fatigue design of tubular joints. This methodology is applicable for developing empirical models for SCF in other tubular joints and boundary conditions.

Item Type: Article
Identification Number: https://doi.org/10.1111/ffe.14122
Dates:
DateEvent
23 July 2023Accepted
9 August 2023Published Online
Uncontrolled Keywords: artificial neural networks, empirical modeling, fatigue design, hotspot stress, stress concentration factor, tubular joints
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-02 - mechanical engineering
Divisions: Faculty of Computing, Engineering and the Built Environment > College of Engineering
Depositing User: Gemma Tonks
Date Deposited: 03 Jul 2024 14:41
Last Modified: 03 Jul 2024 14:41
URI: https://www.open-access.bcu.ac.uk/id/eprint/15637

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