Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics

Sophie Cram; Marinus Luegmair; Davide Di Nunno; Steffen Marburg

Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics

Sophie Cram
, Marinus Luegmair
, Davide Di Nunno
, Steffen Marburg

Chair of Vibro-Acoustics of Vehicles and Machines

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

2 Scopus citations

Abstract

For the vibroacoustical behavior, uncertainties are relevant for a realistic simulation in the automotive sector. Statistical distributions of input data account for the focus of this contribution. These uncertain input data are processed in a finite element (FE) simulation model producing statistically distributed output data. It is our first aim to identify the distribution of input data of the FE simulation. This is why model parameters are typically determined based on measurements. The paper is focused on the parameters of a vehicle door, especially on stiffness and damping of the seal. The values are statistically analyzed. On the one hand with the arithmetic mean and the standard deviation and on the other hand with the Pearson system. The outputs of the Pearson chart characterize the distributions of the stiffness and the damping values. These distributions will be implemented for the door simulation in future use.

Original language	English
Title of host publication	"Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021
Editors	Eleonora Carletti, Malcolm Crocker, Marek Pawelczyk, Jiri Tuma
Publisher	Silesian University Press
ISBN (Electronic)	9788378807995
State	Published - 2021
Event	27th International Congress on Sound and Vibration, ICSV 2021 - Virtual, Online Duration: 11 Jul 2021 → 16 Jul 2021

Publication series

Name	"Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021
ISSN (Print)	2329-3675

Conference

Conference	27th International Congress on Sound and Vibration, ICSV 2021
City	Virtual, Online
Period	11/07/21 → 16/07/21

Keywords

Damping
Pearson chart
Stiffness
Uncertainty
Vibroacoustics

Cite this

Cram, S., Luegmair, M., Di Nunno, D., & Marburg, S. (2021). Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics. In E. Carletti, M. Crocker, M. Pawelczyk, & J. Tuma (Eds.), "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021 ("Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021). Silesian University Press.

Cram, Sophie ; Luegmair, Marinus ; Di Nunno, Davide et al. / Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics. "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. editor / Eleonora Carletti ; Malcolm Crocker ; Marek Pawelczyk ; Jiri Tuma. Silesian University Press, 2021. ("Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021).

@inproceedings{4446e8256cd94cf3ab58431dfc3136df,

title = "Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics",

abstract = "For the vibroacoustical behavior, uncertainties are relevant for a realistic simulation in the automotive sector. Statistical distributions of input data account for the focus of this contribution. These uncertain input data are processed in a finite element (FE) simulation model producing statistically distributed output data. It is our first aim to identify the distribution of input data of the FE simulation. This is why model parameters are typically determined based on measurements. The paper is focused on the parameters of a vehicle door, especially on stiffness and damping of the seal. The values are statistically analyzed. On the one hand with the arithmetic mean and the standard deviation and on the other hand with the Pearson system. The outputs of the Pearson chart characterize the distributions of the stiffness and the damping values. These distributions will be implemented for the door simulation in future use.",

keywords = "Damping, Pearson chart, Stiffness, Uncertainty, Vibroacoustics",

author = "Sophie Cram and Marinus Luegmair and \{Di Nunno\}, Davide and Steffen Marburg",

note = "Publisher Copyright: {\textcopyright} {"}Advances in Acoustics, Noise and Vibration - 2021{"} Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. All rights reserved.; 27th International Congress on Sound and Vibration, ICSV 2021 ; Conference date: 11-07-2021 Through 16-07-2021",

year = "2021",

language = "English",

series = "{"}Advances in Acoustics, Noise and Vibration - 2021{"} Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021",

publisher = "Silesian University Press",

editor = "Eleonora Carletti and Malcolm Crocker and Marek Pawelczyk and Jiri Tuma",

booktitle = "{"}Advances in Acoustics, Noise and Vibration - 2021{"} Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021",

}

Cram, S, Luegmair, M, Di Nunno, D & Marburg, S 2021, Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics. in E Carletti, M Crocker, M Pawelczyk & J Tuma (eds), "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021, Silesian University Press, 27th International Congress on Sound and Vibration, ICSV 2021, Virtual, Online, 11/07/21.

Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics. / Cram, Sophie; Luegmair, Marinus; Di Nunno, Davide et al.
"Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. ed. / Eleonora Carletti; Malcolm Crocker; Marek Pawelczyk; Jiri Tuma. Silesian University Press, 2021. ("Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021).

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

TY - GEN

T1 - Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics

AU - Cram, Sophie

AU - Luegmair, Marinus

AU - Di Nunno, Davide

AU - Marburg, Steffen

PY - 2021

Y1 - 2021

N2 - For the vibroacoustical behavior, uncertainties are relevant for a realistic simulation in the automotive sector. Statistical distributions of input data account for the focus of this contribution. These uncertain input data are processed in a finite element (FE) simulation model producing statistically distributed output data. It is our first aim to identify the distribution of input data of the FE simulation. This is why model parameters are typically determined based on measurements. The paper is focused on the parameters of a vehicle door, especially on stiffness and damping of the seal. The values are statistically analyzed. On the one hand with the arithmetic mean and the standard deviation and on the other hand with the Pearson system. The outputs of the Pearson chart characterize the distributions of the stiffness and the damping values. These distributions will be implemented for the door simulation in future use.

AB - For the vibroacoustical behavior, uncertainties are relevant for a realistic simulation in the automotive sector. Statistical distributions of input data account for the focus of this contribution. These uncertain input data are processed in a finite element (FE) simulation model producing statistically distributed output data. It is our first aim to identify the distribution of input data of the FE simulation. This is why model parameters are typically determined based on measurements. The paper is focused on the parameters of a vehicle door, especially on stiffness and damping of the seal. The values are statistically analyzed. On the one hand with the arithmetic mean and the standard deviation and on the other hand with the Pearson system. The outputs of the Pearson chart characterize the distributions of the stiffness and the damping values. These distributions will be implemented for the door simulation in future use.

KW - Damping

KW - Pearson chart

KW - Stiffness

KW - Uncertainty

KW - Vibroacoustics

UR - https://www.scopus.com/pages/publications/85117492013

M3 - Conference contribution

AN - SCOPUS:85117492013

T3 - "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021

BT - "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021

A2 - Carletti, Eleonora

A2 - Crocker, Malcolm

A2 - Pawelczyk, Marek

A2 - Tuma, Jiri

PB - Silesian University Press

T2 - 27th International Congress on Sound and Vibration, ICSV 2021

Y2 - 11 July 2021 through 16 July 2021

ER -

Cram S, Luegmair M, Di Nunno D, Marburg S. Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics. In Carletti E, Crocker M, Pawelczyk M, Tuma J, editors, "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. Silesian University Press. 2021. ("Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021).

Uncertainty quantification of vehicle door parameters with pearson charts in context of vibroacoustics

Abstract

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Keywords

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