Tyre tread pattern noise optimization by a coupled source-human perception model

Dirk Bekke; Ysbrand Wijnant; Andre De Boer; Marieke Bezemer-Krijnen

Tyre tread pattern noise optimization by a coupled source-human perception model

Dirk Bekke, Ysbrand Wijnant, Andre De Boer, Marieke Bezemer-Krijnen

Applied Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

392 Downloads (Pure)

Abstract

The current tyre design process uses many experimental evaluations and it may take therefore more than 2 years to develop a tyre. The use of simulation tools improves and speeds up this process. Research has shown that the human perception of tyre tread pattern noise is mainly determined by the noise characteristics: level, tonalness and modulation (also called drumming). In this paper a new source model and human perception model is described. The source modelling approach predicts the correct trends of the three tyre tread pattern noise characteristics. From the noise characteristics dedicated Sound Quality Metrics are defined: for level the Standard Deviation (STD), for tonalness the Order Prominence (OP) and for modulation the Multi- Order Modulation (MOM). Using these Sound Quality Metrics the human perception model is obtained by regression analysis, predicting the human perception of tyre tread pattern noise correctly (R2=0.94). The coupled source - human perception model enables a very fast optimization of a complete tyre tread pattern design to human comfort.

Original language	English
Title of host publication	INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering
Subtitle of host publication	Improving the World Through Noise Control
Editors	John Davy, Marion Burgess, Charles Don, Liz Dowsett, Terry McMinn, Norm Broner
Publisher	Australian Acoustical Society
ISBN (Electronic)	9780909882037
Publication status	Published - 1 Jan 2014
Event	43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014 - Melbourne, Australia Duration: 16 Nov 2014 → 19 Nov 2014 Conference number: 43 http://internoise2014.acoustics.asn.au/

Conference

Conference	43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014
Abbreviated title	INTERNOISE 2014
Country/Territory	Australia
City	Melbourne
Period	16/11/14 → 19/11/14
Internet address	http://internoise2014.acoustics.asn.au/

Keywords

Perception
Road
Sound quality
Tyre
Vehicle

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Bekke2014tyreFinal published version, 8.95 MB

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Bekke, D., Wijnant, Y., De Boer, A., & Bezemer-Krijnen, M. (2014). Tyre tread pattern noise optimization by a coupled source-human perception model. In J. Davy, M. Burgess, C. Don, L. Dowsett, T. McMinn, & N. Broner (Eds.), INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control Australian Acoustical Society.

Bekke, Dirk ; Wijnant, Ysbrand ; De Boer, Andre et al. / Tyre tread pattern noise optimization by a coupled source-human perception model. INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control. editor / John Davy ; Marion Burgess ; Charles Don ; Liz Dowsett ; Terry McMinn ; Norm Broner. Australian Acoustical Society, 2014.

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title = "Tyre tread pattern noise optimization by a coupled source-human perception model",

abstract = "The current tyre design process uses many experimental evaluations and it may take therefore more than 2 years to develop a tyre. The use of simulation tools improves and speeds up this process. Research has shown that the human perception of tyre tread pattern noise is mainly determined by the noise characteristics: level, tonalness and modulation (also called drumming). In this paper a new source model and human perception model is described. The source modelling approach predicts the correct trends of the three tyre tread pattern noise characteristics. From the noise characteristics dedicated Sound Quality Metrics are defined: for level the Standard Deviation (STD), for tonalness the Order Prominence (OP) and for modulation the Multi- Order Modulation (MOM). Using these Sound Quality Metrics the human perception model is obtained by regression analysis, predicting the human perception of tyre tread pattern noise correctly (R2=0.94). The coupled source - human perception model enables a very fast optimization of a complete tyre tread pattern design to human comfort.",

keywords = "Perception, Road, Sound quality, Tyre, Vehicle",

author = "Dirk Bekke and Ysbrand Wijnant and {De Boer}, Andre and Marieke Bezemer-Krijnen",

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editor = "John Davy and Marion Burgess and Charles Don and Liz Dowsett and Terry McMinn and Norm Broner",

booktitle = "INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering",

publisher = "Australian Acoustical Society",

address = "Australia",

note = "43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014, INTERNOISE 2014 ; Conference date: 16-11-2014 Through 19-11-2014",

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Bekke, D, Wijnant, Y, De Boer, A & Bezemer-Krijnen, M 2014, Tyre tread pattern noise optimization by a coupled source-human perception model. in J Davy, M Burgess, C Don, L Dowsett, T McMinn & N Broner (eds), INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control. Australian Acoustical Society, 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014, Melbourne, Australia, 16/11/14.

Tyre tread pattern noise optimization by a coupled source-human perception model. / Bekke, Dirk; Wijnant, Ysbrand; De Boer, Andre et al.
INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control. ed. / John Davy; Marion Burgess; Charles Don; Liz Dowsett; Terry McMinn; Norm Broner. Australian Acoustical Society, 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Bekke, Dirk

AU - Wijnant, Ysbrand

AU - De Boer, Andre

AU - Bezemer-Krijnen, Marieke

N1 - Conference code: 43

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The current tyre design process uses many experimental evaluations and it may take therefore more than 2 years to develop a tyre. The use of simulation tools improves and speeds up this process. Research has shown that the human perception of tyre tread pattern noise is mainly determined by the noise characteristics: level, tonalness and modulation (also called drumming). In this paper a new source model and human perception model is described. The source modelling approach predicts the correct trends of the three tyre tread pattern noise characteristics. From the noise characteristics dedicated Sound Quality Metrics are defined: for level the Standard Deviation (STD), for tonalness the Order Prominence (OP) and for modulation the Multi- Order Modulation (MOM). Using these Sound Quality Metrics the human perception model is obtained by regression analysis, predicting the human perception of tyre tread pattern noise correctly (R2=0.94). The coupled source - human perception model enables a very fast optimization of a complete tyre tread pattern design to human comfort.

AB - The current tyre design process uses many experimental evaluations and it may take therefore more than 2 years to develop a tyre. The use of simulation tools improves and speeds up this process. Research has shown that the human perception of tyre tread pattern noise is mainly determined by the noise characteristics: level, tonalness and modulation (also called drumming). In this paper a new source model and human perception model is described. The source modelling approach predicts the correct trends of the three tyre tread pattern noise characteristics. From the noise characteristics dedicated Sound Quality Metrics are defined: for level the Standard Deviation (STD), for tonalness the Order Prominence (OP) and for modulation the Multi- Order Modulation (MOM). Using these Sound Quality Metrics the human perception model is obtained by regression analysis, predicting the human perception of tyre tread pattern noise correctly (R2=0.94). The coupled source - human perception model enables a very fast optimization of a complete tyre tread pattern design to human comfort.

KW - Perception

KW - Road

KW - Sound quality

KW - Tyre

KW - Vehicle

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M3 - Conference contribution

AN - SCOPUS:84923562378

BT - INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering

A2 - Davy, John

A2 - Burgess, Marion

A2 - Don, Charles

A2 - Dowsett, Liz

A2 - McMinn, Terry

A2 - Broner, Norm

PB - Australian Acoustical Society

T2 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014

Y2 - 16 November 2014 through 19 November 2014

ER -

Tyre tread pattern noise optimization by a coupled source-human perception model

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