Prediction of fatigue life and estimation of its reliability on the parts of an air suspension system

Jun, Kab-Jin; Park, T. W.; Lee, S. H.; Jung, Seungho; Yoon, Ji‐Won

doi:10.1007/s12239-008-0088-4

Cited by 18 publications

(9 citation statements)

References 4 publications

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“…Claus (2001) generalizes the deformation-based stress recovery approach to multipurpose 28 T. T. Rantalainen et al: Simulation of structural stress finite element codes. More recently, Jun et al (2008) used the modal stress recovery approach to obtain stress for fatigue analysis. They also discussed the reliability of fatigue life calculation.…”

Section: Stress In Multibody Dynamic Simulationmentioning

confidence: 99%

Sub-modeling approach for obtaining structural stress histories during dynamic analysis

2013

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Abstract. Modern machine structures are often fabricated by welding. From a fatigue point of view, the structural details and especially, the welded details are the most prone to fatigue damage and failure. Design against fatigue requires information on the fatigue resistance of a structure's critical details and the stress loads that act on each detail. Even though, dynamic simulation of flexible bodies is already current method for analyzing structures, obtaining the stress history of a structural detail during dynamic simulation is a challenging task; especially when the detail has a complex geometry. In particular, analyzing the stress history of every structural detail within a single finite element model can be overwhelming since the amount of nodal degrees of freedom needed in the model may require an impractical amount of computational effort. The purpose of computer simulation is to reduce amount of prototypes and speed up the product development process. Also, to take operator influence into account, real time models, i.e. simplified and computationally efficient models are required. This in turn, requires stress computation to be efficient if it will be performed during dynamic simulation. The research looks back at the theoretical background of multibody simulation and finite element method to find suitable parts to form a new approach for efficient stress calculation. This study proposes that, the problem of stress calculation during dynamic simulation can be greatly simplified by using a combination of Floating Frame of Reference Formulation with modal superposition and a sub-modeling approach. In practice, the proposed approach can be used to efficiently generate the relevant fatigue assessment stress history for a structural detail during or after dynamic simulation. Proposed approach is demonstrated in practice using one numerical example. Even though, examples are simplified the results show that approach is applicable and can be used as proposed.

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Section: Stress In Multibody Dynamic Simulationmentioning

confidence: 99%

Sub-modeling approach for obtaining structural stress histories during dynamic analysis

2013

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“…Due to the severe suspension input received, the vehicle was driven with a constant speed of 50 km/h. The Belgian road is commonly used for testing vehicle durability since it has 100 times the severity in comparison with general roads [10]. Several passes of each proving ground road surface were collected to ensure a statistically valid and representative sample of data.…”

Section: Proving Ground Data Acquisitionmentioning

confidence: 99%

“…In the case of component for a passenger car where the fatigue life is relatively long and the range of plastic deformation is relatively small, the stress-life (S-N) method is applied in the knuckle fatigue life prediction [10]. In this study, fatigue analysis was performed to evaluate the fatigue relevant similarity of desired knuckle ball joint load signals and the load signals after 16 iterations of the road simulator.…”

Section: Fatigue Analysismentioning

confidence: 99%

Application of Road Simulator Service Loads in Automotive Component Durability Assessment

Azrulhisham¹

2011

TOIMEJ

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This paper presents automotive component durability assessment based on road load data acquired using spindle coupled full vehicle road simulator test system. In this study, service loads in terms of response-time history signal was obtained from accredited test track using road load data acquisition. Replication of test track loads to the road simulator was achieved using iterative deconvolution where a portion of Belgian block service load data was selected as desired response signal. Linear estimate of the frequency response function model of the desired response and random simulator actuator signal was obtained using parametric model estimation. This system model is then mathematically inverted and convolved with the desired response time histories to provide simulator drive signal required to produce the response. Durability test in terms of fatigue analysis was later conducted by observing specimen response obtained on the simulator due to the developed drive signal. It is found that the divergences between fatigue life of desired and achieved loads are all within 50%. This study shows that by applying the iterative deconvolution method fatigue sensitive contents of the road load signals can be well produced by the road simulator.

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“…In the case of a stub axle in which the fatigue life is relatively long and the range of plastic deformation is relatively small, the stress-life method and cumulative damage rule can be applied for the fatigue life prediction (Jun et al, 2008). In this approach, fatigue life is predicted by associating the information from the cycle counting (typically represented by the rainflow matrices) of the variable amplitude service loads and the material properties *Corresponding author.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life reliability prediction of a stub axle using Monte Carlo simulation

Asri

Azrulhisham

Dzuraidah

et al. 2011

Int.J Automot. Technol.

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A stub axle is a part of a vehicle constant-velocity system that transfers engine power from the transaxle to the wheels. The stub axle is subjected to fatigue failures due to cyclic loads arising from various driving conditions. The aim of this paper was to introduce a probabilistic framework for fatigue life reliability analysis that addresses uncertainties that appear in the mechanical properties. Service loads in terms of response-time history signal of a Belgian pave were replicated on a multi-axial spindle-coupled road simulator. The stress-life method was used to estimate the fatigue life of the component. A fatigue life probabilistic model of a stub axle was developed using Monte Carlo simulation where the stress range intercept and slope of the fatigue life curve were selected as random variables. Applying the goodness-of-fit analysis, lognormal was found to be the most suitable distribution for the fatigue life estimates. The fatigue life of the stub axle was found to have the highest reliability between 8000 -9000 cycles. Because of uncertainties associated with the size effect and machining and manufacturing conditions, the method described in this paper can be effectively applied to determine the probability of failure for mass-produced parts.

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Prediction of fatigue life and estimation of its reliability on the parts of an air suspension system

Cited by 18 publications

References 4 publications

Sub-modeling approach for obtaining structural stress histories during dynamic analysis

Sub-modeling approach for obtaining structural stress histories during dynamic analysis

Application of Road Simulator Service Loads in Automotive Component Durability Assessment

Fatigue life reliability prediction of a stub axle using Monte Carlo simulation

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