Effect of Payload, Road Surface and Speed of Vehicle on Durability

Saraf, M. R.; Jambhale, Medha Santosh

doi:10.4271/2003-26-0033

Cited by 2 publications

(1 citation statement)

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“…The selection of accelerometers is made according to the requirement. See references [15] to [17] for details regarding the road load data acquisition. The data collected are required for validation in terms of their representativeness, repeatability, and reproducibility.…”

Section: Methodsmentioning

confidence: 99%

Rescaled range analysis of service load data

Rathanraj¹,

Srividya

Verma

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part D:

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Recent advances in data acquisition, storing, and recording technology are allowing increasingly detailed samplings of actual customer usage of product. Because of this, laboratories are coming forward to use the actual road data rather than simulated data or data collected from the proving ground. This research work is an attempt to find a representative length of data (short-term data) from the large-distance data (long-term data). For any particular class of vehicle, finding the short-term data, which are representative of long-term data, will avoid the collection of large-distance data in the future. In this paper, using the Hurst methodology an attempt have been made to find the short-term data that have to be collected, so as to be representative of the long-term data. In this study, data have been collected both on the proving ground as well as on an actual road for a distance of 1700km on a light commercial vehicle. It has been seen from the Hurst exponent that, collecting data for an actual road length of about 200km would give a representation for an actual road length of 1000km.

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Section: Methodsmentioning

confidence: 99%

Rescaled range analysis of service load data

Rathanraj¹,

Srividya

Verma

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part D:

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Effect of Deadweight on Frame and Correlation with Human Passenger in a Two Wheeler

Kumar,

Irfan

et al. 2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Deadweight as payload is an important parameter, which affects the vehicle dynamics and durability of the vehicle. This paper presents a study performed to evaluate the effect of deadweight on dynamic input load, suspension operation, and fatigue life of frame in a two wheeler. Also, an optimization exercise was undertaken to correlate and optimize deadweight with a human payload in terms of equivalent damage to the frame. Strain, wheel acceleration, and suspension displacement data were acquired with pillion and multiple deadweights and compared. Relative damage spectrum (RDS) characterization and best-fit optimization methods were used for deadweight correlation. It was observed that with deadweight addition dynamic loads decreases on the front wheel while increases on the rear. Strain damage wise increasing deadweights have marginal effects on the front zone of the frame while on the middle and rear side, deadweights are detrimental. Human payload behaves like deadweight for dynamic loading as observed with higher acceleration and suspension stroke level given its magnitude, but in terms of strain damage it has very low damaging effect as compared to deadweights. Deadweight optimization exercise suggested an optimum weight to have an equivalent damage for the same durability cycle as human pillion. The study aimed to help in understanding the design load considerations taking deadweight into account as well as in the development of proving ground test cycle with deadweight as a human substitute. The latter could be applied in case of manpower planning or pandemic scenario such as COVID-19.</div></div>

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Effect of Payload, Road Surface and Speed of Vehicle on Durability

Cited by 2 publications

References 0 publications

Rescaled range analysis of service load data

Rescaled range analysis of service load data

Effect of Deadweight on Frame and Correlation with Human Passenger in a Two Wheeler

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