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An Artificial Neural Network Model to Predict Tread Pattern-Related Tire Noise
Technical Paper
2017-01-1904
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Tire-pavement interaction noise (TPIN) is a dominant source for passenger cars and trucks above 40 km/h and 70 km/h, respectively. TPIN is mainly generated from the interaction between the tire and the pavement. In this paper, twenty-two passenger car radial (PCR) tires of the same size (16 in. radius) but with different tread patterns were tested on a non-porous asphalt pavement. For each tire, the noise data were collected using an on-board sound intensity (OBSI) system at five speeds in the range from 45 to 65 mph (from 72 to 105 km/h). The OBSI system used an optical sensor to record a once-per-revolution signal to monitor the vehicle speed. This signal was also used to perform order tracking analysis to break down the total tire noise into two components: tread pattern-related noise and non-tread pattern-related noise. The spatial tread pattern profile of each tire was digitized and quantified using two spectral parameters: the tread profile spectrum characterizing the tread impact mechanism and the air volume velocity spectrum characterizing the air pumping mechanism. The two tread pattern spectra were correlated with the tread pattern-related noise spectrum using an artificial neural network (ANN) model. Multiple ANN model configurations were investigated. The experimental validation shows that the best ANN model is able to predict the tread pattern-related noise very well for typical PCR tire tread patterns of the tire size investigated at normal highway speeds.
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Li, T., Burdisso, R., and Sandu, C., "An Artificial Neural Network Model to Predict Tread Pattern-Related Tire Noise," SAE Technical Paper 2017-01-1904, 2017, https://doi.org/10.4271/2017-01-1904.Data Sets - Support Documents
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References
- Hanson , D.I. , James C, R.S. , and NeSmith , C. Tire/Pavement Noise Study NCAT Report 04-02 United States 49 2004
- Nijland , R. , Vos , E. , and Hooghwerff , J. The Dutch Noise Innovation Program Road Traffic (IPG) The 32nd International Congress and Exposition on Noise Control Engineering, Inter-noise 2003 2003
- Sandberg , U. and Ejsmont , J.A. Tyre/road noise reference book INFORMEX, Kisa, Sweden Harg, Sweden 9789163126109 9163126109 2002
- Iwao , K. and Yamazaki , I. A study on the mechanism of tire/road noise JSAE Review no. 17 Amsterdam, Netherlands 139 144 1996
- Cusimano , F.J.I. Low noise pneumatic tire tread and method for producing same European Patent EP0513676 A1 , Google Patents 1 14 1992
- Ejsmont , J. , Sandberg , U. , and Taryma , S. Influence of Tread Pattern on Tire/Road Noise SAE Technical Paper 841238 1984 10.4271/841238
- Zhou , H. Investigate into Influence of Tire tread Pattern on Noise and Hydroplaning and Synchronously Improving Methods PhD Dissertation Jiangsu University China 1 178 2013
- Kido , I. , Ueyama , S. , Hashioka , M. , Yamamoto , S. et al. Tire and Road Input Modeling for Low-Frequency Road Noise Prediction SAE Int. J. Passeng. Cars - Mech. Syst. 4 2 1277 1282 2011 10.4271/2011-01-1690
- Bremner , P. , Huff , J. , and Bolton , J. A Model Study of How Tire Construction and Materials Affect Vibration-Radiated Noise SAE Technical Paper 972049 1997 10.4271/972049
- Chen , C. , Kuan , Y. , Chen , C. , and Sung , M. Using CFD Technique to Investigate the Effect of Tire Roiling-noise with Different Pattern Design Applied Mechanics and Materials Switzerland 469 72 2014
- Kim , S. , Jeong , W. , Park , Y. , and Lee , S. Prediction method for tire air-pumping noise using a hybrid technique J. Acoust. Soc. Am. 119 6 3799 3812 2006
- Roo , F. De and Gerretsen , E. TRIAS - tyre road interaction acoustic simulation model InterNoise 2000, The 29th International Congress and Exhibition on Noise Control Engineering 27-30 August 2000 Nice, FRANCE Volume 4 2488 2496 2000
- Plotkin , K.J. and Stusnick , E. A Unified Set of Models for Tire/Road Noise Generation Report: WR-81-26 63 p Environmental Protection Agency, Arlington, VA. Office of Noise Abatement and Control United States 63 1981
- Che , Y. , Xiao , W. , Chen , L. , Huang , Z. , Yong , C. , Wangxin , X. , Lijun , C. , and Zhichu , H. GA-BP Neural Network Based Tire Noise Prediction Adv. Mater. Res. 443-444 65 70 2012
- Li , X.-H. , Liu , J. , Liu , D.-Q. , and Sun , K.-M. Application of tread patterns noise-reduction based on self-adaptive fuzzy genetic algorithm Comput. Eng. Appl. 45 22 2009
- Kuijpers , A. and Blokland , G. van Tyre/road noise modeling: The road from a tyre’s point-of-view Proceedings of Inter-Noise 2003, The 32nd International Congress and Exposition on Noise Control Engineering Jeju International Convention Center, Seogwipo, Korea August 25-28, 2003 249 2003
- Cao , P. , Yan , X. , Xiao , W. , and Chen , L. A prediction model to coupling noise of tire tread patterns and road texture Proceedings of the 8th International Conference of Chinese Logistics and Transportation Professionals - Logistics: The Emerging Frontiers of Transportation and Development in China American Society of Civil Engineers Chengdu, China 978-0-7844-0996-1 2332 2338 2008 10.1061/40996(330)344
- Alt , N. , Wolff , K. , Eisele , G. , and Pichot , F. Fahrzeug Außen Geräuschsimulation (Vehicle exterior noise simulation) Automob. Zeitschrift 108 832 36 2006
- FEHRL (Forum of European National Highway Research Laboratories) Tyre/road noise FEHRL Final Report SI2.408210 2001
- Fong , S. Tyre noise predictions from computed road surface texture induced contact pressure Proceedings of INTER-NOISE 98 Christchurch, New Zealand 137 140 1998
- Liu , Y. , Li , T. , Liu , Y. , and Su , Y. Optimize the Structure Parameters of Tread Pattern Based on the Fuzzy Genetic Arithmetic 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010) Piscataway, NJ, USA 860 3 2010
- Fry , J. , Jennings , P. , Taylor , N. , and Jackson , P. Vehicle Drive-By Noise Prediction: A Neural Networks Approach SAE Technical Paper 1999-01-1740 1999 10.4271/1999-01-1740
- Fry , J. and Jennings , P. Using Multi-Layer Perceptrons to Predict Vehicle Pass-By Noise Neural Comput Appl 11 3 161 7 2003 10.1007/s00521-003-0354-3
- Li , T. , Feng , J. , Burdisso , R. , and Sandu , C. The Effects of Tread Pattern on Tire Pavement Interaction Noise 45th International Congress and Exposition on Noise Control Engineering:: Towards a Quieter Future, INTER-NOISE 2016 Hamburg, Germany August 21-24, 2016 2185 2196 2016
- Li , T. , Feng , J. , Burdisso , R. , and Sandu , C. The Effects of Speed on Tire-Pavement Interaction Noise (Tread-Pattern-Related Noise and Non-Tread-Pattern-Related Noise) 35th Annual Meeting and Conference on Tire Science and Technology September 13-14, 2016 Akron, Ohio, USA 2016
- AASHTO Standard Method of Test for Measurement of Tire/Pavement Noise Using the On-Board Sound Intensity (OBSI) Method AASHTO TP 76 2013
- Rasmussen , R.O. , Bernhard , R.J. , Sandberg , U. , and Mun , E.P. The Little Book of Quieter Pavements Rep. No. FHWA-IF-08-004 2007
- Negrus , E.M. and Teodorescu , C. Testing and evaluation of tyre like component part of motor vehicle ISBN 973-648-027-5 BREN Publisher Bucharest 102 2002
- McDaniel , R. , Shah , A. , Dare , T. , and Bernhard , R. Hot Mix Asphalt Surface Characteristics Related to Ride , Texture , Friction , Noise and Durability 2014
- Kinsler , L.E. , Frey , A.R. , Coppens , A.B. , and Sanders , J. V Fundamentals of acoustics 4th Ed. ISBN 0-471-84789-5 Wiley-VCH 560 1999 10.1002/9780470612439
- Houtsma , A.J.M. A note on pure-tone masking by broadband noise under free-field and insert-phone conditions (L) J. Acoust. Soc. Am. 117 2 490 491 2005
- Fidell , S. , Horonjeff , R. , Teffeteller , S. , and Green , D.M. Effective masking bandwidths at low frequencies J. Acoust. Soc. Am. 73 2 628 638 1983
- Hawkins J.E. , J. and Stevens , S.S. The masking of pure tones and of speech by white noise J. Acoust. Soc. Am. 22 6 13 1950
- Schuhmacher , A. Blind Source Separation Applied to Indoor Vehicle Pass-By Measurements SAE Int. J. Passeng. Cars - Mech. Syst. 8 3 1034 1041 2015 10.4271/2015-01-2320
- Zwicker , E. , Flottorp , G. , and Stevens , S.S. Critical Band Width in Loudness Summation J. Acoust. Soc. Am. 29 5 548 557 1957 10.1121/1.1908963
- Pratt , H. , Starr , A. , Michalewski , H.J. , Dimitrijevic , A. , Bleich , N. , and Mittelman , N. Auditory-evoked potentials to frequency increase and decrease of high- and low-frequency tones Clin. Neurophysiol. (Ireland) 120 2 360 73 2009
- Song , L. , McGee , J. , and Walsh , E.J. Frequency- and level-dependent changes in auditory brainstem responses (ABRs) in developing mice J. Acoust. Soc. Am. 119 4 2242 57 2006
- Tarassenko , L. Guide to Neural Computing Applications Butterworth-Heinemann 9780340705896 1998 10.1016/B978-034070589-6/50009-9
- Friedman , J.H. , Tibshirani , R. , and Hastie , T. The Elements of Statistical Learning Springer Berlin 2001
- Beale , M.H. , Hagan , M.T. , and Demuth , H.B. Neural network toolbox 7 User’s Guide MathWorks 2010
- Kuijpers , A. and Blokland , G. van Tyre/road noise models in the last two decades: A critical evaluation Proceedings of Inter-Noise 2001 The Hague, Holland 2494 2001