An artificial neural network model for determining stress concentration factors for fatigue design of tubular T-joint under compressive loads

Adnan Rasul; Saravanan Karuppanan; Veeradasan Perumal; Mark Ovinis; Mohsin Iqbal

doi:10.1108/IJSI-02-2024-0034

An artificial neural network model for determining stress concentration factors for fatigue design of tubular T-joint under compressive loads

Adnan Rasul^*
, Saravanan Karuppanan
, Veeradasan Perumal
, Mark Ovinis
, Mohsin Iqbal

^*Corresponding author for this work

Universiti Teknologi Petronas

Research output: Contribution to journal › Article › peer-review

16 Citations (SciVal)

Original language	English
Journal	International Journal of Structural Integrity
DOIs	https://doi.org/10.1108/IJSI-02-2024-0034
Publication status	Published (VoR) - 10 May 2024

Keywords

Artificial neural network
Fatigue design
Finite element analysis
Stress concentration factor
T-joint

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10.1108/IJSI-02-2024-0034

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title = "An artificial neural network model for determining stress concentration factors for fatigue design of tubular T-joint under compressive loads",

keywords = "Artificial neural network, Fatigue design, Finite element analysis, Stress concentration factor, T-joint",

author = "Adnan Rasul and Saravanan Karuppanan and Veeradasan Perumal and Mark Ovinis and Mohsin Iqbal",

note = "Publisher Copyright: {\textcopyright} 2024, Emerald Publishing Limited.",

year = "2024",

month = may,

day = "10",

doi = "10.1108/IJSI-02-2024-0034",

language = "English",

journal = "International Journal of Structural Integrity",

issn = "1757-9864",

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TY - JOUR

T1 - An artificial neural network model for determining stress concentration factors for fatigue design of tubular T-joint under compressive loads

AU - Rasul, Adnan

AU - Karuppanan, Saravanan

AU - Perumal, Veeradasan

AU - Ovinis, Mark

AU - Iqbal, Mohsin

PY - 2024/5/10

Y1 - 2024/5/10

KW - Artificial neural network

KW - Fatigue design

KW - Finite element analysis

KW - Stress concentration factor

KW - T-joint

UR - https://www.scopus.com/pages/publications/85192363582

UR - https://www.scopus.com/pages/publications/85192363582#tab=citedBy

UR - https://www.open-access.bcu.ac.uk/15599/

U2 - 10.1108/IJSI-02-2024-0034

DO - 10.1108/IJSI-02-2024-0034

M3 - Article

AN - SCOPUS:85192363582

SN - 1757-9864

JO - International Journal of Structural Integrity

JF - International Journal of Structural Integrity

ER -

An artificial neural network model for determining stress concentration factors for fatigue design of tubular T-joint under compressive loads

Keywords

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