Investigation of fatigue assessments accuracy for beam weldments considering material data input and FE-mode type
Gorash, Yevgen and Comlekci, Tugrul and MacKenzie, Donald (2017) Investigation of fatigue assessments accuracy for beam weldments considering material data input and FE-mode type. Journal of Physics: Conference Series, 843. 012025. ISSN 1742-6596 (https://doi.org/10.1088/1742-6596/843/1/012025)
Preview |
Text.
Filename: Gorash_etal_JPCS_2017_Investigation_of_fatigue_assessments_accuracy_for_beam_weldments.pdf
Final Published Version License: Download (3MB)| Preview |
Abstract
This study investigates the effects of fatigue material data and finite element types on accuracy of residual life assessments under high cycle fatigue. The bending of cross-beam connections is simulated in ANSYS Workbench for different combinations of structural member shapes made of a typical structural steel. The stress analysis of weldments with specific dimensions and loading applied is implemented using solid and shell elements. The stress results are transferred to the fatigue code nCode DesignLife for the residual life prediction. Considering the effects of mean stress using FKM approach, bending and thickness according to BS 7608:2014, fatigue life is predicted using the Volvo method and stress integration rules from ASME Boiler & Pressure Vessel Code. Three different pairs of S-N curves are considered in this work including generic seam weld curves and curves for the equivalent Japanese steel JIS G3106-SM490B. The S-N curve parameters for the steel are identified using the experimental data available from NIMS fatigue data sheets employing least square method and considering thickness and mean stress corrections. The numerical predictions are compared to the available experimental results indicating the most preferable fatigue data input, range of applicability and FE-model formulation to achieve the best accuracy.
ORCID iDs
Gorash, Yevgen ORCID: https://orcid.org/0000-0003-2802-7814, Comlekci, Tugrul ORCID: https://orcid.org/0000-0002-7892-7960 and MacKenzie, Donald ORCID: https://orcid.org/0000-0002-1824-1684;-
-
Item type: Article ID code: 60837 Dates: DateEvent2 June 2017Published21 March 2017AcceptedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 06 Jun 2017 00:55 Last modified: 28 Oct 2024 19:04 URI: https://strathprints.strath.ac.uk/id/eprint/60837