Open Access Open Access  Restricted Access Subscription or Fee Access

Methodology for Selection and Analysis of Representative Test Roads Required for Vehicle Durability Evaluation


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/ireme.v15i3.19382

Abstract


Measurement of customer usage loads is one of the essential and critical activity for evaluation of vehicle durability. The customer usage loads are measured on representative public roads of finite lengths, typically for about 500 km to 1000 km consisting of a mix of different road types. It is always a big challenge for the test engineer to make sure that these selected road patches are good representatives of the diverse road conditions of the target market. In this paper, a methodology is presented for the selection of these test roads, with the use of objective road roughness values (in terms of International Roughness Index –IRI). Detail study was carried out to analyse the best-fit probability distribution model for road roughness values, and the lognormal (three-parameter) distribution model is observed to be the best suitable model. It is shown that this model provides a better objective definition and classification of customer usage of the target market. The proposed methodology is generic, vehicle independent, and objectively helps to select the best representative test roads with 95% confidence. Thereby also helps in optimising the cost and time of the service load measurement campaign.
Copyright © 2021 Praise Worthy Prize - All rights reserved.

Keywords


Fatigue Damage; Durability; Customer Usage Correlation; Road Profiles; International Roughness Index; IRI; Service Load Data Acquisition; Customer Loads

Full Text:

PDF


References


M. Bakir, B. Ozmen, and C. Donertas, Correlation of simulation, test bench and rough road testing in terms of strength and fatigue life of a leaf spring. Procedia engineering, 213, pp.303-312, 2018.
https://doi.org/10.1016/j.proeng.2018.02.031

V.A. Kulagin, and A.I. Bokarev, December. Modern approaches of vehicle suspension durability evaluation at early stages of development. In IOP Conference Series: Materials Science and Engineering (Vol. 941, No. 1, p. 012072). IOP Publishing, 2020.
https://doi.org/10.1088/1757-899x/941/1/012072

P. Pravinkumar, J. Prakash, and K. Palanisamy,, Optimization of Proving Ground Durability Test Sequence Based on Relative Damage Spectrum, SAE Technical Paper 2018-01-0101.
https://doi.org/10.4271/2018-01-0101

A. Vemuri,N. Talekar , and B. Avutapalli, Road Loads for Durability Analysis using Virtual Iterations, SAE Technical Paper 2018-01-0567.
https://doi.org/10.4271/2018-01-0567

Papadogiannis, A., Michaelides, P., Michalos, G., Chondros, T., Road Tanker Design and Dynamic Response Simulation, (2017) International Review of Mechanical Engineering (IREME), 11 (5), pp. 294-300.
https://doi.org/10.15866/ireme.v11i5.11776

P. Johannesson ,M Speckert. Guide to Load Analysis for durability in vehicle engineering. John Wiely & Sons Ltd, 2014.
https://doi.org/10.1002/9781118700518

A. Conle ,R.W. Landgraf, A Fatigue Analysis Program for Ground Vehicle Components, Proceedings of the International Conference on Digital Techniques in Fatigue (SEECO '83), Society of Environmental Engineers, London, pp. 1-28, 1983.

R. Heim, Structural Durability. In Structural Durability: Methods and Concepts (pp. 147-208). Springer, Cham. 2020
https://doi.org/10.1007/978-3-030-48173-5_5

M.Olofsson, Evaluation of Estimates of Extreme Fatigue Load – Enhanced by Data from Questionnaires, Licentiate of Engineering Thesis, Chalmers University of Technology, Göteborg, Sweden, 2000.

F. Passos, F. Maduro, I. Coura , M. Braga, Customer Profile Identification and correlation between the customer damage and durability tests, SAE Technical Paper 2019-36-0189, 2020.
https://doi.org/10.4271/2019-36-0189

C. H. Chin, S. Abdullah, S. S. K. Singh , A. K. Ariffin , & D. Schramm, Durability assessment of suspension coil spring considering the multifractality of road excitations. Measurement, 158, 107697, 2020.
https://doi.org/10.1016/j.measurement.2020.107697

C. Gorges , K. Öztürk , R. Liebich, Customer loads of two-wheeled vehicles. Vehicle System Dynamics, 55(12), 1842–1864, 2017.
https://doi.org/10.1080/00423114.2017.1335874

D. Schutz ,H. Klatschke, H. Steinhilber, P. Heuler, W. Schutz, Standard Load Sequences for Car Wheel Suspension Components: Car Loading Standard (CARLOS), LBF-Report No. FB-191, 1990

C.T Altmann, Identification and Characterization of Damaging Road Events (Doctoral dissertation, Virginia Tech). 2020.

Prashant R. Pawar, Arun Tom Mathew, M.R. Saraf, IRI (International Roughness Index): An Indicator Of Vehicle Response, Materials Today: Proceedings, Volume 5, Issue 5, Part 2, Pages 11738-11750, ISSN 2214-7853.
https://doi.org/10.1016/j.matpr.2018.02.143

S. K. Prasad , P, D., & R. Balasubramanian, Study on Correlation of Commercial Vehicle Axle Response with Road Profile for ISO Road Class Categorization and Durability Analysis. SAE Technical Paper Series.
https://doi.org/10.4271/2018-01-1114

J. Li , Z. Zhang, & W. Wang , International Roughness Index and a New Solution for Its Calculation. Journal of Transportation Engineering, Part B: Pavements, 144(2), 06018002, 2018.
https://doi.org/10.1061/jpeodx.0000052

J.B. Ferris, J. L. Larsen, Establishing Chassis Reliability Testing Targets Based on Road Roughness, International Journal of Materials and Product Technology, Vol. 17, Nos. 5/6, 2002, pp. 2002.
https://doi.org/10.1504/ijmpt.2002.005470

M. Speckert ,M. Lübke , B. Wagner , T. Anstötz , C. Haupt , Representative Road Selection and Route Planning for Commercial Vehicle Development. In: Berns K. et al. (eds) Commercial Vehicle Technology 2018. Proceedings. Springer Vieweg, Wiesbaden, 2018.
https://doi.org/10.1007/978-3-658-21300-8_10

Hermann Kollmer, Ferit Kucukay, Kurt Potter, Measurement and fatigue damage evaluation of road profiles in customer operation, International Journal of Vehicle Design (IJVD), Vol. 56, No. 1/2/3/4.2011
https://doi.org/10.1504/ijvd.2011.043265

M. Karlsson, Evaluation of road load classification for fatigue assessments, International Journal of Vehicle Design, Vol. 47, Nos. 1/2/3/4, pages 250-268, 2008.
https://doi.org/10.1504/ijvd.2008.020890

W. Fauriat, C. Mattrand, N. Gayton, A. Beakou , An application of stochastic simulation to the study of the variability of road induced fatigue loads. Procedia Eng. 133:631–645, 2015.
https://doi.org/10.1016/j.proeng.2015.12.643

K. Bogsjö, Road Profile Statistics Relevant for Vehicle Fatigue, PhD thesis, Mathematical Statistics, Lund University, 2007

R. J. Aristizabal, Estimating the parameters of the three-parameter lognormal distribution. FIU Electronic Theses and Dissertations. Paper 575, 2012.
http://digitalcommons.fiu.edu/etd/575

Henry B.Mann and Donald R. Whitney, On a Test of Whether one of Two Random Variables is Stochastically Larger than the other. Annals of Mathematical Statistics. 18 (1): 50–60. MR 0022058. Zbl 0041.26103, 1947.
https://doi.org/10.1214/aoms/1177730491

Howard Levene, Robust tests for equality of variances. In Ingram Olkin; Harold Hotelling; et al. (eds.). Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. Stanford University Press. pp. 278–292, 1960.
https://doi.org/10.1002/bimj.19630050119

Reddipogu, J., Elumalai, V., Multi-Objective Model Predictive Control for Vehicle Active Suspension System, (2020) International Review of Automatic Control (IREACO), 13 (5), pp. 255-263.
https://doi.org/10.15866/ireaco.v13i5.19212

Batayneh, W., Bataineh, A., Jaradat, M., Intelligent Adaptive Fuzzy Logic Genetic Algorithm Controller for Anti-Lock Braking System, (2021) International Review on Modelling and Simulations (IREMOS), 14 (1), pp. 44-54.
https://doi.org/10.15866/iremos.v14i1.19838


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize