Development of Accelerated Structural Durability Test Program for a Mini-truck and its Components

Panse, Suyog M; Awate, Chandrakant

doi:10.4271/2006-01-0085

Cited by 5 publications

(1 citation statement)

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“…A methodology for physical test optimization based on vehicle suspension, chassis, and body was presented [12], and the road load history was edited for the component bench durability test, which was based on fatigue damage analysis. Panse and Awate [13] devised an accelerated structure durability testing programme and applied it to complete vehicles and components according to customer usage. This approach was also based on the equivalent fatigue damage correlation method.…”

Section: Introductionmentioning

confidence: 99%

Accelerated durability assessment of motorcycle components in real-time simulation testing

Lin

Hwang

Chang

2009

Proceedings of the Institution of Mechanical Engineers, Part D:

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The rapid development of the vehicle industry has made reducing product development time a major concern. This study seeks to identify a suitable accelerated approach to durability analysis for motorcycle components. This investigation involves field data acquisition, laboratory road load simulation, accelerated durability testing, and fatigue life prediction. Two methods, 'strain range editing technique' and 'racetrack editing technique', were applied to edit field strain histories for accelerated durability tests. Furthermore, four methods, including the 'S-N approach with fatigue property of base metal', 'Eurocode 3 approach', 'BS 5400 approach', and 'BS 5400 approach with Gurney thickness modification', were employed to assess fatigue life. Three road types and four damage levels were also used. The results demonstrated that the 'BS 5400 approach with Gurney thickness modification' is a suitable method of assessing the durability of welded motorcycle components when the fatigue properties of critical points are not available. Both the 'strain range editing technique' and 'racetrack editing technique' can effectively edit strain histories with the expected quantity of fatigue damage, and demonstrate satisfactory agreement between the experimental data and predicted data.

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Section: Introductionmentioning

confidence: 99%