Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis

Abstract This study explores the inherent nonlinearity of quarter car models by employing an experimental and numerical approach. The dynamics of vehicular suspension systems are pivotal for ensuring passenger comfort, vehicle stability, and overall ride quality. In this paper we assessed the impact...

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Main Authors: Tadios Molla, Prakash Duraisamy, Karthikeyan Rajagopal, Anitha Karthikeyan, Salah Boulaaras
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-63139-z
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author Tadios Molla
Prakash Duraisamy
Karthikeyan Rajagopal
Anitha Karthikeyan
Salah Boulaaras
author_facet Tadios Molla
Prakash Duraisamy
Karthikeyan Rajagopal
Anitha Karthikeyan
Salah Boulaaras
author_sort Tadios Molla
collection DOAJ
description Abstract This study explores the inherent nonlinearity of quarter car models by employing an experimental and numerical approach. The dynamics of vehicular suspension systems are pivotal for ensuring passenger comfort, vehicle stability, and overall ride quality. In this paper we assessed the impact of various parameters and components on suspension performance, enabled the optimization of ride comfort, stability, and handling characteristics. Firstly, experimental analysis allowed for the investigation of factors that are challenging to model theoretically, such as stiffness nonlinearity and damping characteristics, which may vary under different operating conditions. Time domain and frequency response diagram of the model has been obtained. Secondly, a quarter-car with single degree-of-freedom presented and investigated in fractional order form. Fractional order dynamics emphasize nonlinearities in quarter car models, capturing real-world dynamics effectively. The proposed fractional-order nonlinear quarter car model employed Caputo derivative. For numerical analysis of fractional order system, the Adam–Bashforth–Moulton method is used and the disturbance of road assumed to be stochastic. Results show that the dynamic response of the vehicle can be chaotic. Influence of road roughness amplitude and frequency on vehicle vibration is investigated.
format Article
id doaj-art-1506e3ada24845d2b4161bca530581b0
institution Kabale University
issn 2045-2322
language English
publishDate 2024-05-01
publisher Nature Portfolio
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series Scientific Reports
spelling doaj-art-1506e3ada24845d2b4161bca530581b02025-01-12T12:25:07ZengNature PortfolioScientific Reports2045-23222024-05-0114111510.1038/s41598-024-63139-zExploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysisTadios Molla0Prakash Duraisamy1Karthikeyan Rajagopal2Anitha Karthikeyan3Salah Boulaaras4Production Engineering Department, College of Engineering, Defence UniversityCentre for Nonlinear Systems, Chennai Institute of TechnologyCentre for Nonlinear Systems, Chennai Institute of TechnologyDepartment of Electronics and Communication Engineering, Vemu Institute of TechnologyDepartment of Mathematics, College of Sciences, Qassim UniversityAbstract This study explores the inherent nonlinearity of quarter car models by employing an experimental and numerical approach. The dynamics of vehicular suspension systems are pivotal for ensuring passenger comfort, vehicle stability, and overall ride quality. In this paper we assessed the impact of various parameters and components on suspension performance, enabled the optimization of ride comfort, stability, and handling characteristics. Firstly, experimental analysis allowed for the investigation of factors that are challenging to model theoretically, such as stiffness nonlinearity and damping characteristics, which may vary under different operating conditions. Time domain and frequency response diagram of the model has been obtained. Secondly, a quarter-car with single degree-of-freedom presented and investigated in fractional order form. Fractional order dynamics emphasize nonlinearities in quarter car models, capturing real-world dynamics effectively. The proposed fractional-order nonlinear quarter car model employed Caputo derivative. For numerical analysis of fractional order system, the Adam–Bashforth–Moulton method is used and the disturbance of road assumed to be stochastic. Results show that the dynamic response of the vehicle can be chaotic. Influence of road roughness amplitude and frequency on vehicle vibration is investigated.https://doi.org/10.1038/s41598-024-63139-zNonlinear quarter car modelStochastic excitationAdam–Bashforth–Moulton methodDynamical analysisNonlinear equations
spellingShingle Tadios Molla
Prakash Duraisamy
Karthikeyan Rajagopal
Anitha Karthikeyan
Salah Boulaaras
Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis
Scientific Reports
Nonlinear quarter car model
Stochastic excitation
Adam–Bashforth–Moulton method
Dynamical analysis
Nonlinear equations
title Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis
title_full Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis
title_fullStr Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis
title_full_unstemmed Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis
title_short Exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis
title_sort exploring nonlinearity in quarter car models with an experimental approach to formulating fractional order form and its dynamic analysis
topic Nonlinear quarter car model
Stochastic excitation
Adam–Bashforth–Moulton method
Dynamical analysis
Nonlinear equations
url https://doi.org/10.1038/s41598-024-63139-z
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