Development of a fatigue life prediction methodology for welded steel semi-trailer components based on a new criterion

Tello, L. ; Castejon, L. (Universidad de Zaragoza) ; Malon, H. (Universidad de Zaragoza) ; Valladares, D. (Universidad de Zaragoza) ; Luque, P. ; Alvarez, D. ; Ranz, D. (Universidad de Zaragoza) ; Cuartero, J. (Universidad de Zaragoza)
Development of a fatigue life prediction methodology for welded steel semi-trailer components based on a new criterion
Resumen: This paper presents a procedure developed to predict the fatigue life in components made of steel, based on the mechanical properties of the base material and Thermally Affected Zones (TAZs) owing to welding. The fatigue life cycles of the studied components are obtained based on a certain survival probability provided by a Weibull distribution. This procedure is thought to be applied on semi-trailer components, and therefore it is proposed for the steels that are typically used in its manufacturing. A criterion for the adjustment of the exponent and the stress stroke of the fatigue life curve in welded joints is proposed in which the parameters that define the alternating stress versus the number of cycles to failure (S-N) curve are obtained exclusively from the ratio between the base material yield stress of a given steel and the strength of its Thermally Affected Zone. This procedure is especially useful for steels that do not have a complete characterization of their fatigue parameters. These developments are implemented in a subroutine that can be applied in commercial codes based on Finite Element Method (FEM) to obtain a fatigue life prediction. Finally, a numerical-experimental validation of the developed procedure is carried out by means of a semi-trailer axle bracing support fatigue analysis.
Idioma: Inglés
DOI: 10.1016/j.engfailanal.2019.104268
Año: 2020
Publicado en: ENGINEERING FAILURE ANALYSIS 108 (2020), 104268 1-26
ISSN: 1350-6307

Factor impacto JCR: 3.114 (2020)
Categ. JCR: MATERIALS SCIENCE, CHARACTERIZATION & TESTING rank: 9 / 32 = 0.281 (2020) - Q2 - T1
Categ. JCR: ENGINEERING, MECHANICAL rank: 44 / 133 = 0.331 (2020) - Q2 - T2

Factor impacto SCIMAGO: 0.84 - Aerospace Engineering (Q1) - Automotive Engineering (Q1) - Engineering (miscellaneous) (Q1) - Safety, Risk, Reliability and Quality (Q1) - Materials Science (miscellaneous) (Q1) - Mechanical Engineering (Q1) - Mechanics of Materials (Q1) - Industrial and Manufacturing Engineering (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/TRA2012-38826
Tipo y forma: Article (Published version)
Área (Departamento): Área Ingen.e Infraestr.Transp. (Dpto. Ingeniería Mecánica)
Área (Departamento): Área Ingeniería Mecánica (Dpto. Ingeniería Mecánica)
Área (Departamento): Área Expresión Gráfica en Ing. (Dpto. Ingeniería Diseño Fabri.)


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 Record created 2020-02-04, last modified 2022-01-20


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