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Numerical study of the influence of weld geometry variations on fatigue life using the notch stress analysis
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics, Lightweight Structures.ORCID iD: 0000-0002-0814-9980
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics, Lightweight Structures.ORCID iD: 0000-0003-4180-4710
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics, Solid Mechanics.ORCID iD: 0000-0001-6375-6292
2022 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Idealized geometry is typically used in standards for the fatigue life assessment of welded joints. In the presence of stochastic geometrical variations along the weld, the choice of the idealized geometry is however ambiguous. In the notch stress (NS) method with a fictitious notch radius rref = 1 mm, the FAT 225 curve is derived for welds with relatively good quality in toe profiles. In the NS method with rref = ractual + 1 mm, a lower FAT 200 curve is recommended. Both approaches neglect the stochastic variability in toe radius, toe angle and leg length along the weld. The aim of this paper is two-fold. First, a numerical comparison between both approaches in terms of their predicted fatigue life is performed for a non-load carrying fillet cruciform joints. The results show that the NS method with rref = 1 mm and FAT 225 is substantially more conservative. Second, these methods are enhanced by replacing the deterministic stress concentration factor by a probability distribution computed using Monte Carlo simulation. It is shown that NS with rref = 1 mm and FAT 225 does not predict any substantial influence of the stochastic variability in process parameters since the actual toe radius is not included in the analysis. However, the NS method with rref = ractual + 1 mm and FAT 200 predicts a decrease in fatigue life when uncertainties in geometrical parameters is included. This numerical study paves the way for an experimental validation of the predicted influence of stochastic variability of geometrical parameters based on the stochastic notch stress analysis.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 38, p. 621-630
Series
Procedia Structural Integrity, ISSN 2452-3216
Keywords [en]
Weld, Fatigue life, Notch stress analysis, Monte Carlo simulation, Stochastic geometrical variations
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:kth:diva-310812DOI: 10.1016/j.prostr.2022.03.064Scopus ID: 2-s2.0-85129534893OAI: oai:DiVA.org:kth-310812DiVA, id: diva2:1650567
Conference
Fatigue Design 2021, International Conference Proceedings, 9th Edition,17-18 Nov 2021, Senlis, France
Note

QC 20220419

Available from: 2022-04-07 Created: 2022-04-07 Last updated: 2022-10-19Bibliographically approved
In thesis
1. Computational weld mechanics - Increased accuracy in fatigue assessment, distortion and residual stress analysis
Open this publication in new window or tab >>Computational weld mechanics - Increased accuracy in fatigue assessment, distortion and residual stress analysis
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis work is concerned with the mechanical response of welded steel structures, which are distortions, residual stresses, and fatigue. The accuracy of fatigue assessment, distortion and residual stress analysis using Computational weld mechanics (CWM) is focused. The following studies are performed; welding simulations of residual stresses and distortions, weld quality estimation, evaluation of local stress-based fatigue strength assessment methods.

The following CWM methods: thermo-elastic-plastic, inherent strain (local-global), and sub structuring have been implemented both on T-type fillet weld and butt weld specimens to estimate angular distortion and residual stresses. In regard to large welded structures, the CWM methods using lumping method, together with prescribed temperature method, is implemented on a welded box structures to estimate welding residual stress state. The welding distortion analysis has been carried out on a large full scale beam structure experimentally and numerically using CWM techniques such as the inherent strain (local–global) method and the shrinkage method, together with the lumping approach. The accuracy of CWM methods is studied, and improvements are proposed.

A probabilistic model is proposed to estimate the probability of a targeted weld penetration depth. The uncertain process parameters are voltage, current, travel speed, and torch travel angle which were studied based on an experimental investigation. The weld penetration depth is evaluated from macrographs using a digital tool developed in MatLab. The epistemic measurement uncertainty related to this evaluation is quantified and incorporated in the probabilistic model.

Monte Carlo simulation is implemented to consider the weld geometry variations in the ENS methods. The stochastic variability in toe radius, toe angle and leg length are considered. The influence of weld geometry variations on the ENS methods using deterministic and stochastic SCF distribution is assessed.

The Hot Spot Stress (HSS), 1-mm stress (OM), Theory of Critical Distances (TCD), Stress Averaging (SA), and Effective Notch Stress (ENS) methods are evaluated for cover plates and T-joints subjected to axial and bending loading, in terms of accuracy and reliability. The evaluation is based on fatigue test data extracted from the literature and carried out in this study. The fatigue design curves applicable for T-joints under bending are discussed, which can be used in the TCD method and SA method.

The studies above contribute to increasing the accuracy in the estimation of residual stresses and distortions using simplified CWM methods, achieving a required reliability level in manufacturing, and improving accuracy and reliability of local stress-based fatigue assessment methods.  

Place, publisher, year, edition, pages
Sweden: KTH Royal Institute of Technology, 2022. p. 44
Series
TRITA-SCI-FOU ; 2022:50
Keywords
Computational weld mechanics, fatigue assessment, weld distortion, residual stress
National Category
Other Mechanical Engineering
Research subject
Vehicle and Maritime Engineering
Identifiers
urn:nbn:se:kth:diva-320275 (URN)978-91-8040-367-2 (ISBN)
Public defence
2022-11-11, F3, Lindstedtsvägen 26, Stockholm, 09:00 (English)
Opponent
Supervisors
Note

Funders: Vinnova, Cargotec Sweden AB Bromma Conquip and SSAB

QC 221020

Available from: 2022-10-21 Created: 2022-10-19 Last updated: 2022-10-21Bibliographically approved

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Zhu, JinchaoBarsoum, ZuheirMansour, Rami

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