Research Article
Stress Concentration Factor Estimation of a Multi-planar DKT Tubular Joint through Finite Element and Machine Learning Approaches
@INPROCEEDINGS{10.4108/eai.11-10-2022.2326418, author={Rudi Walujo Prastianto and Fulgentius Agiel Admiral and Yoyok Setyo Hadiwidodo and Daniel Mohammad Rosyid and Yeyes Mulyadi and Kriyo Sambodho}, title={Stress Concentration Factor Estimation of a Multi-planar DKT Tubular Joint through Finite Element and Machine Learning Approaches}, proceedings={Proceedings of the 1st International Conference on Sustainable Engineering Development and Technological Innovation, ICSEDTI 2022, 11-13 October 2022, Tanjungpinang, Indonesia}, publisher={EAI}, proceedings_a={ICSEDTI}, year={2023}, month={1}, keywords={multiplanar dkt tubular joint finite element method machine learning regression stress concentration factor}, doi={10.4108/eai.11-10-2022.2326418} }- Rudi Walujo Prastianto
Fulgentius Agiel Admiral
Yoyok Setyo Hadiwidodo
Daniel Mohammad Rosyid
Yeyes Mulyadi
Kriyo Sambodho
Year: 2023
Stress Concentration Factor Estimation of a Multi-planar DKT Tubular Joint through Finite Element and Machine Learning Approaches
ICSEDTI
EAI
DOI: 10.4108/eai.11-10-2022.2326418
Abstract
The Double KT (DKT) multi-planar tubular joint is frequently found in the jacket offshore structures. An important aspect in designing the multi-planar tubular joint is accuracy in predicting the Stress Concentration Factor (SCF). Despite its practicability with considerable accuracy on stress analysis and estimating the SCF, the Finite Element (FE) method needs high computational time and effort. Therefore, this study will develop alternative SCF equations for DKT tubular joint with regression analysis as one of the machine learning techniques to increase equation’s accuracy while reducing computational time. The variation of the DKT tubular joint was determined based on the validity range of the geometric parameters of the tubular joint (β, τ , and γ) and the combination of axial, in-plane bending (IPB), and out-plane bending (OPB) moment loadings. Stress distribution and concentration factor of the DKT joints were analyzed based on FE model of the joint. Then, the SCF results from the FE analysis were used in the regression analysis to obtain new equations. Six SCF equations including for both brace-side and chord-side have been obtained while the reliability of the equation has been checked using Acceptance Criteria based on UK Department of Energy and showed good results.
