A two-scale finite element model for the fatigue design of large welded structures

Heyraud, H.; Robert, Camille; Mareau, Charles; Bellett, Daniel; Morel, Franck; Belhomme, N.; Doré, O.

doi:10.1016/j.engfailanal.2021.105280

Cited by 7 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both case studies are good examples of how complex it is to transfer measured geometries of large-scale structures into FE models. Alternatively, a coupled subelement approach can incorporate local weld geometries into complex 3D models without high computational effort, see Heyraud et al 47 .…”

Section: Progress On Finite Element Modelling Of Weld Geometriesmentioning

confidence: 99%

Recent progress on geometrical and stress concentration characterization of welded joints

Braun¹

2023

International Conference on Materials Engineering and Manufacturing Systems: Icmems2022

View full text Add to dashboard Cite

Stress concentrations arise at welded joints due to local notches at weld transitions and determine fatigue life under cyclic loading. In order to accurately determine the severity of these stress concentrations from local weld geometry parameters advanced measurement technologies are required; however, the characterization of welded joints is traditionally based on manual measurements. In recent years, several techniques have been developed to characterize geometrical and stress concentration features of welded joints. This study briefly reviews a number of studies on weld geometry measurements, stress concentration characterization, and the determination of their influence on fatigue life estimation. Finally, an outlook on machine learning-based determination of fatigue life is given.

show abstract

Section: Progress On Finite Element Modelling Of Weld Geometriesmentioning

confidence: 99%

Recent progress on geometrical and stress concentration characterization of welded joints

Braun¹

2023

International Conference on Materials Engineering and Manufacturing Systems: Icmems2022

View full text Add to dashboard Cite

show abstract

“…Development of new machines and structures with high operational capabilities and specific capacities, as well as the necessity to reduce their metal consumption while increasing strength and durability is an urgent and challenging task, especially considering the high cost and uniqueness of a number of machines and structures (transport means, steam and gas turbine bodies and rotors, nuclear reactors and steam generators, pipelines, critical elements of welded and detachable joints, etc.). However, to achieve maximum results, it is difficult to increase the durability of structural elements that meet the strength criteria and reduce the consumption of metals [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Structural Materials Durability Statistical Assessment Taking into Account Threshold Sensitivity

Bazaras

Lukoševičius

Bazaraitė

2022

Metals

View full text Add to dashboard Cite

This work presents an experimental—analytical study of the possibility of applying the method of the greatest probability to evaluate the sensitive thresholds of the bottom (N0) and top (Nk) of the statistical distribution of the mechanical structural characteristics. For the structural materials alloyed steel 15Cr2MoVA, steel C45 and aluminium alloy D16T1, the statistical distribution of proportional limit, yield strength, ultimate tensile strength, reduction in area, cyclic stress was estimated, as well as the following statistical parameters: mathematical mean, average square deviation, dispersion, asymmetry, variation coefficient, and excess. Purpose: to determine whether the limits of the sensitivity of the statistical distribution of the mechanical characteristics have been computed using the maximum likelihood method. Value: there is a certain upward and downward flattening of the probability curves in the statistical distribution curves of the fatigue test results. This implies that the chosen law of the distribution of random variables has an effect on the appearance of errors. These errors are unacceptable given the importance of accurately determining the reliability and durability of transport means, shipbuilding, machinery, and other important structures. Our results could potentially explain why sensitive limits cannot be applied to the statistical distribution of the mechanical characteristics of structural materials.

show abstract

“…This methodology was followed with a 3D local solid model employed in the weld zone to calculate residual stress distribution accurately; where there are steep thermal gradients. More recently, Heyraud et al (2021) studied fatigue assessment of large complex-shaped welded structures by leveraging a global-local model based on finite element method. This approach was found suitable for stress field prediction of weld regions leading to high accuracy in fatigue design of structures.…”

Section: Introductionmentioning

confidence: 99%

A global thermo-mechanical model to mitigate welding residual stress and deformation in production of an aluminum bio-inspired AUV with a curved outside corner joint

Honaryar

Iranmanesh²,

Liu³

et al. 2022

Ocean Engineering

View full text Add to dashboard Cite

A two-scale finite element model for the fatigue design of large welded structures

Cited by 7 publications

References 24 publications

Recent progress on geometrical and stress concentration characterization of welded joints

Recent progress on geometrical and stress concentration characterization of welded joints

Structural Materials Durability Statistical Assessment Taking into Account Threshold Sensitivity

A global thermo-mechanical model to mitigate welding residual stress and deformation in production of an aluminum bio-inspired AUV with a curved outside corner joint

Contact Info

Product

Resources

About