An Improved Method for Simulation of Vehicle Vibration Using a Journey Database and Wavelet Analysis for the Pre-Distribution Testing of Packaging

Katharine Rhiannon Griffiths

Research output: ThesisDoctoral Thesis

Abstract

Vehicle vibration is inherently random and non-stationary with a non-Gaussian
distribution. In addition, variations in vehicle parameters, product payloads and
distribution journeys mean that the characteristics of vibration are not identical for
all distribution journeys. Because vehicle vibration and shock are key causes of
damage during distribution, their simulation in pre-distribution testing is vital in
order to ensure that adequate protection is provided for transported products.
The established method set out in the current testing standards utilises a global set
of averaged accelerated power spectral density spectra to construct random
vibration signals. These signals are stationary with Gaussian distributions and,
therefore, do not fully represent actual vehicle vibration, only an average.
The aim of the investigation, reported on in this Thesis, was to create an improved
test regime for simulating vehicle vibration for pre-distribution testing of
packaging. This aim has been achieved through the construction of representative
tests and the creation of realistic simulations with statistical significance.
A journey database has been created, in which historic road profile data along with
a quarter vehicle model have been used to approximate a known vehicle’s
vibration on a specific distribution journey. Additionally, a wavelet decomposition
method, in which wavelet analysis is used to decompose the approximate vehicle
vibration in to a series of Gaussian approximations of varying amplitude and
spectral content, has been developed. Along with theoretical work, case studies
have been undertaken in order to validate the test regime.
LanguageEnglish
QualificationPh.D.
Awarding Institution
  • University of Bath
Supervisors/Advisors
  • Hicks, Ben, Supervisor
  • Keogh, Patrick, Supervisor
Award date30 Apr 2013
StatusUnpublished - Oct 2012

Fingerprint

Wavelet analysis
Packaging
Testing
Wavelet decomposition
Power spectral density
Gaussian distribution

Keywords

  • vibration
  • testing
  • wavelets
  • packaging

Cite this

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title = "An Improved Method for Simulation of Vehicle Vibration Using a Journey Database and Wavelet Analysis for the Pre-Distribution Testing of Packaging",
abstract = "Vehicle vibration is inherently random and non-stationary with a non-Gaussiandistribution. In addition, variations in vehicle parameters, product payloads anddistribution journeys mean that the characteristics of vibration are not identical forall distribution journeys. Because vehicle vibration and shock are key causes ofdamage during distribution, their simulation in pre-distribution testing is vital inorder to ensure that adequate protection is provided for transported products.The established method set out in the current testing standards utilises a global setof averaged accelerated power spectral density spectra to construct randomvibration signals. These signals are stationary with Gaussian distributions and,therefore, do not fully represent actual vehicle vibration, only an average.The aim of the investigation, reported on in this Thesis, was to create an improvedtest regime for simulating vehicle vibration for pre-distribution testing ofpackaging. This aim has been achieved through the construction of representativetests and the creation of realistic simulations with statistical significance.A journey database has been created, in which historic road profile data along witha quarter vehicle model have been used to approximate a known vehicle’svibration on a specific distribution journey. Additionally, a wavelet decompositionmethod, in which wavelet analysis is used to decompose the approximate vehiclevibration in to a series of Gaussian approximations of varying amplitude andspectral content, has been developed. Along with theoretical work, case studieshave been undertaken in order to validate the test regime.",
keywords = "vibration, testing, wavelets, packaging",
author = "Griffiths, {Katharine Rhiannon}",
year = "2012",
month = "10",
language = "English",
school = "University of Bath",

}

TY - THES

T1 - An Improved Method for Simulation of Vehicle Vibration Using a Journey Database and Wavelet Analysis for the Pre-Distribution Testing of Packaging

AU - Griffiths,Katharine Rhiannon

PY - 2012/10

Y1 - 2012/10

N2 - Vehicle vibration is inherently random and non-stationary with a non-Gaussiandistribution. In addition, variations in vehicle parameters, product payloads anddistribution journeys mean that the characteristics of vibration are not identical forall distribution journeys. Because vehicle vibration and shock are key causes ofdamage during distribution, their simulation in pre-distribution testing is vital inorder to ensure that adequate protection is provided for transported products.The established method set out in the current testing standards utilises a global setof averaged accelerated power spectral density spectra to construct randomvibration signals. These signals are stationary with Gaussian distributions and,therefore, do not fully represent actual vehicle vibration, only an average.The aim of the investigation, reported on in this Thesis, was to create an improvedtest regime for simulating vehicle vibration for pre-distribution testing ofpackaging. This aim has been achieved through the construction of representativetests and the creation of realistic simulations with statistical significance.A journey database has been created, in which historic road profile data along witha quarter vehicle model have been used to approximate a known vehicle’svibration on a specific distribution journey. Additionally, a wavelet decompositionmethod, in which wavelet analysis is used to decompose the approximate vehiclevibration in to a series of Gaussian approximations of varying amplitude andspectral content, has been developed. Along with theoretical work, case studieshave been undertaken in order to validate the test regime.

AB - Vehicle vibration is inherently random and non-stationary with a non-Gaussiandistribution. In addition, variations in vehicle parameters, product payloads anddistribution journeys mean that the characteristics of vibration are not identical forall distribution journeys. Because vehicle vibration and shock are key causes ofdamage during distribution, their simulation in pre-distribution testing is vital inorder to ensure that adequate protection is provided for transported products.The established method set out in the current testing standards utilises a global setof averaged accelerated power spectral density spectra to construct randomvibration signals. These signals are stationary with Gaussian distributions and,therefore, do not fully represent actual vehicle vibration, only an average.The aim of the investigation, reported on in this Thesis, was to create an improvedtest regime for simulating vehicle vibration for pre-distribution testing ofpackaging. This aim has been achieved through the construction of representativetests and the creation of realistic simulations with statistical significance.A journey database has been created, in which historic road profile data along witha quarter vehicle model have been used to approximate a known vehicle’svibration on a specific distribution journey. Additionally, a wavelet decompositionmethod, in which wavelet analysis is used to decompose the approximate vehiclevibration in to a series of Gaussian approximations of varying amplitude andspectral content, has been developed. Along with theoretical work, case studieshave been undertaken in order to validate the test regime.

KW - vibration

KW - testing

KW - wavelets

KW - packaging

M3 - Doctoral Thesis

ER -