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Assessment of computational weld mechanics concepts for estimation of residual stresses in welded box structures
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.ORCID iD: 0000-0003-1296-3608
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. Chalmers University of Technology, Chalmersplatsen 4, Gothenburg, 41296, Sweden.ORCID iD: 0000-0003-4180-4710
2019 (English)In: 3rd International Conference on Structural Integrity, (ICSI 2019) / [ed] Moreira, PMGP Tavares, PJS, Elsevier, 2019, Vol. 17, p. 704-711Conference paper, Published paper (Refereed)
Abstract [en]

In this study finite element simulation approaches (lumping and prescribed temperature) are implemented to study residual stress distribution in a welded box type structure. This component is a vital part in several load carrying structural applications and the residual stresses are important to quantify from a structural integrity point of view. The thermal history from simulations has been verified with experimental measurements. The residual stresses at the weld toe side were measured, using X-ray diffraction technique. It is shown that a similar trend of residual stress state was captured by the simulation, compared to experimental measurements. The estimated residual stresses from the cases of welds with full penetration and partial penetration are slightly different along the crack path. Compressive residual stress was near the area of both weld toe and root while tensile residual stress was in the center of the weld with the magnitude up to 820 MPa. Moreover, a sub model of the welded box type structure is studied using the following computational weld mechanics concepts: Thermo -elastic -plastic, lumping and prescribed temperature, in order to assess the computational time and the magnitude of estimated residual stresses.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 17, p. 704-711
Series
Procedia Structural Integrity, ISSN 2452-3216 ; 17
Keywords [en]
Finite element method, residual stresses, welding simulation, welded box structures
National Category
Materials Engineering
Identifiers
URN: urn:nbn:se:kth:diva-266724DOI: 10.1016/j.prostr.2019.08.094ISI: 000505162900093Scopus ID: 2-s2.0-85074669361OAI: oai:DiVA.org:kth-266724DiVA, id: diva2:1386438
Conference
3rd International Conference on Structural Integrity, ICSI 2019; Funchal, Madeira; Portugal; 2 September 2019 through 5 September 2019
Note

QC 20200117

Available from: 2020-01-17 Created: 2020-01-17 Last updated: 2024-03-18Bibliographically 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, JinchaoKhurshid, MansoorBarsoum, Zuheir

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