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Evaluation of local stress-based fatigue strength assessment methods for cover plates and T-joints subjected to axial and bending loading
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics, Solid Mechanics.ORCID iD: 0000-0002-0814-9980
Khalifa Univ, Dept Mech Engn, Abu Dhabi, U Arab Emirates.;Khalifa Univ, Adv Digital & Addit Mfg Ctr, Abu Dhabi, U Arab Emirates..ORCID iD: 0000-0002-9438-9648
KTH, School of Engineering Sciences (SCI), Engineering Mechanics.ORCID iD: 0000-0003-4180-4710
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. Cargotec Sweden AB Bromma Conquip, Kista, Sweden..ORCID iD: 0000-0003-1296-3608
2022 (English)In: Fatigue & Fracture of Engineering Materials & Structures, ISSN 8756-758X, E-ISSN 1460-2695, Vol. 45, no 9, p. 2531-2548Article in journal (Refereed) Published
Abstract [en]

This study aims to find suitable fatigue assessment methods for welded structures (cover plates and T-joints) subjected to axial and bending loading. 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 in terms of accuracy and reliability. The evaluation is based on fatigue test data extracted from the literature and carried out in this study. It is found that the SA method can be used to assess the fatigue strength of cover plate joints under axial loading with relatively good accuracy and low scatter, followed by the ENS method. The HSS, TCD, SA, and ENS methods are conservative estimation methods for T-joints under bending, while the accuracy is low. Furthermore, fatigue design curves applicable for T-joints under bending are discussed, which can be used in the TCD method and SA method.

Place, publisher, year, edition, pages
Wiley , 2022. Vol. 45, no 9, p. 2531-2548
Keywords [en]
effective notch stress, fatigue strength assessment, hot spot stress, 1-mm stress, Stress averaging, Theory of Critical Distances, weld toe failure
National Category
Building Technologies
Identifiers
URN: urn:nbn:se:kth:diva-319452DOI: 10.1111/ffe.13764ISI: 000811370900001Scopus ID: 2-s2.0-85131892969OAI: oai:DiVA.org:kth-319452DiVA, id: diva2:1700671
Note

QC 20230920

Available from: 2022-10-03 Created: 2022-10-03 Last updated: 2024-03-15Bibliographically 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, ImadBarsoum, ZuheirKhurshid, Mansoor

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