Fatigue tests and design of welded thin-walled RHS–Channel and Channel–Channel cross-beam connections under cyclic bending

Mashiri, Fidelis Rutendo; Zhao, Xilu; Tong, Le Wei

doi:10.1016/j.tws.2012.09.002

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1b using shell FEs. The advantage of all performed numerical predictions is that the crack has been predicted exactly in the same location as in experiments [2,3] for all cases of geometry and loading -front part of the weld toe on the fillet of the bottom member. The obtained numerical predictions for shell FE formulation are compared to the experimental results [2,3] as shown in Fig.…”

mentioning

confidence: 91%

“…The bending of cross-beam connections is simulated in ANSYS Workbench for three different combinations of structural member shapes: RHS-RHS, RHS-angle and RHS-Channel [2,3]. The weldments are made of the high-strength steel of grades C350LO (σ y = 350 MPa and σ u = 430 MPa) and C450LO (σ y = 450 MPa and σ u = 500 MPa) according to the Australian Standard AS3678.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Influence of material data input on accuracy of fatigue assessments for beam weldments

Gorash¹,

Comlekci²,

Mackenzie³

2016

Proc Appl Math and Mech

View full text Add to dashboard Cite

This numerical study investigates the effects of fatigue material data and finite element types on accuracy of residual life assessments under HCF conditions. The bending of cross‐beam connections is simulated in ANSYS Workbench for three different combinations of beam profiles. The weldments are made of the high‐strength steel grades C350LO and C450LO according to AS3678. The stress analysis of weldments is implemented with solid and shell elements using linear material and geometry consideration. The stress distributions are transferred to the embedded fatigue code nCode DesignLife. For both variants of FE‐mesh, the nominal stress in the weld toes is extracted by splitting the total stress into membrane and bending components and filtering out non‐linear component. Considering the effects of bending, size and mean stress, failure locations and fatigue life are predicted using the Volvo method and rules from ASME BPV Code. Three different pairs of experimental S‐N curves (stiff and flexible) are used as material data input for fatigue analysis. The obtained numerical predictions are compared to the experimental results for shell FE‐models. The predictions using the S‐N curves for an equivalent steel demonstrate the best accuracy proving the fact that specific material data input is more effective than a generic data. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)

show abstract

mentioning

confidence: 91%

mentioning

confidence: 99%

Influence of material data input on accuracy of fatigue assessments for beam weldments

Gorash¹,

Comlekci²,

Mackenzie³

2016

Proc Appl Math and Mech

View full text Add to dashboard Cite

show abstract

“…Many studies on the fatigue properties of metal materials under high cycle fatigue tests have been conducted by both domestic and foreign researchers [1][2][3][4][5][6]. The high cycle and ultra-high cycle fatigue properties of Q345 bridge steel were given in References [7][8][9] and the fatigue properties of frame beams subjected to cyclic bending were reported in References [10] and [11], respectively. However, there have been few studies on the HCF properties of the heavy vehicle frame girders of Q345 and QSTE700 steels.…”

Section: Introductionmentioning

confidence: 99%