Efficient simulation of a sports car in steady-state cornering.

Autores
Pucheta , Martín Alejo; Risso , José; Ciabattari, Javier; Cardona , Alberto
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
— The analysis and optimization of full nonlinear flexible multi-body models of race car ve hicles often requiere long execution times. Vehicle dynamics engineers demand for particular-purpose, simplified or reduced models, to get quick results without losing accuracy, as well as customized pre processing and post-processing tools for combining lap-time simulators, tire characteristics interpo lators, and suspension kinematic simulators, among others. In this work, a simplified vehicle model for a sports car including all the main nonlinearities required to compute the steady-state behavior in cornering is presented. This software complements lap-time simulators that can predict the optimal lap time for a track but cannot analyze the stability and robustness of the vehicle. Nonlinearities in cluded are present in the kinematics of the suspension and steering mechanisms, anti-roll bars, in the constitutive laws of springs, and in tire characteristics (including lateral slip, longitudinal slip, and in clination angles dependencies). The complete kinematic analysis of the suspension, including anti-roll bars, is previously computed off-line using suspension design software and finite elements-based soft ware. Each analysis is parameterized by the strut length of each quarter of the vehicle suspension and the rack travel of the steering system, thus all characteristic dimensions needed for force and moment computations in the equilibrium equations are stored in the form of double input tables (car database). These discrete values are linearly interpolated for non-stored values of the parameters. The nonlin ear kineto-static equilibrium equations for the vehicle in cornering configuration are solved in several nested stages using iterative Regula-Falsi methods for root finding of nonlinear equations. For a given vehicle setup and a given trim of the track, yaw moment diagrams and other characteristic curves could be obtained quickly, producing a readable map of controllability and robustness of the vehicle.
Fil: Pucheta, Martín Alejo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Risso, José. Universidad Nacional del Litoral. Centro de Investigación de Métodos Computacionales; Argentina.
Fil: Ciabattari, Javier. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Cardona, Alberto. Universidad Nacional del Litoral. Centro de Investigación de Métodos Computacionales; Argentina.
Materia
Optimization
Nonlinear
Flexible multi-body models
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Attribution-NonCommercial-NoDerivatives 4.0 International
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/13610
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Efficient simulation of a sports car in steady-state cornering.Pucheta , Martín AlejoRisso , JoséCiabattari, JavierCardona , AlbertoOptimizationNonlinearFlexible multi-body models— The analysis and optimization of full nonlinear flexible multi-body models of race car ve hicles often requiere long execution times. Vehicle dynamics engineers demand for particular-purpose, simplified or reduced models, to get quick results without losing accuracy, as well as customized pre processing and post-processing tools for combining lap-time simulators, tire characteristics interpo lators, and suspension kinematic simulators, among others. In this work, a simplified vehicle model for a sports car including all the main nonlinearities required to compute the steady-state behavior in cornering is presented. This software complements lap-time simulators that can predict the optimal lap time for a track but cannot analyze the stability and robustness of the vehicle. Nonlinearities in cluded are present in the kinematics of the suspension and steering mechanisms, anti-roll bars, in the constitutive laws of springs, and in tire characteristics (including lateral slip, longitudinal slip, and in clination angles dependencies). The complete kinematic analysis of the suspension, including anti-roll bars, is previously computed off-line using suspension design software and finite elements-based soft ware. Each analysis is parameterized by the strut length of each quarter of the vehicle suspension and the rack travel of the steering system, thus all characteristic dimensions needed for force and moment computations in the equilibrium equations are stored in the form of double input tables (car database). These discrete values are linearly interpolated for non-stored values of the parameters. The nonlin ear kineto-static equilibrium equations for the vehicle in cornering configuration are solved in several nested stages using iterative Regula-Falsi methods for root finding of nonlinear equations. For a given vehicle setup and a given trim of the track, yaw moment diagrams and other characteristic curves could be obtained quickly, producing a readable map of controllability and robustness of the vehicle.Fil: Pucheta, Martín Alejo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Fil: Risso, José. Universidad Nacional del Litoral. Centro de Investigación de Métodos Computacionales; Argentina.Fil: Ciabattari, Javier. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Fil: Cardona, Alberto. Universidad Nacional del Litoral. Centro de Investigación de Métodos Computacionales; Argentina.Universidad Tecnológica Nacional Regional Córdoba.2025-08-07T18:47:13Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfThe 4th Joint International Conference on Multibody System Dynamics-May 29- June2,2016, Montréal, Canada.https://hdl.handle.net/20.500.12272/13610enginfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Pucheta, Martín Alejo; Risso, José; Ciabattari, Javier; Cardona, Alberto.https://creativecommons.org/licenses/by-nc-nd/4.0/reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:46:41Zoai:ria.utn.edu.ar:20.500.12272/13610instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:46:42.758Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Efficient simulation of a sports car in steady-state cornering.
title Efficient simulation of a sports car in steady-state cornering.
spellingShingle Efficient simulation of a sports car in steady-state cornering.
Pucheta , Martín Alejo
Optimization
Nonlinear
Flexible multi-body models
title_short Efficient simulation of a sports car in steady-state cornering.
title_full Efficient simulation of a sports car in steady-state cornering.
title_fullStr Efficient simulation of a sports car in steady-state cornering.
title_full_unstemmed Efficient simulation of a sports car in steady-state cornering.
title_sort Efficient simulation of a sports car in steady-state cornering.
dc.creator.none.fl_str_mv Pucheta , Martín Alejo
Risso , José
Ciabattari, Javier
Cardona , Alberto
author Pucheta , Martín Alejo
author_facet Pucheta , Martín Alejo
Risso , José
Ciabattari, Javier
Cardona , Alberto
author_role author
author2 Risso , José
Ciabattari, Javier
Cardona , Alberto
author2_role author
author
author
dc.subject.none.fl_str_mv Optimization
Nonlinear
Flexible multi-body models
topic Optimization
Nonlinear
Flexible multi-body models
dc.description.none.fl_txt_mv — The analysis and optimization of full nonlinear flexible multi-body models of race car ve hicles often requiere long execution times. Vehicle dynamics engineers demand for particular-purpose, simplified or reduced models, to get quick results without losing accuracy, as well as customized pre processing and post-processing tools for combining lap-time simulators, tire characteristics interpo lators, and suspension kinematic simulators, among others. In this work, a simplified vehicle model for a sports car including all the main nonlinearities required to compute the steady-state behavior in cornering is presented. This software complements lap-time simulators that can predict the optimal lap time for a track but cannot analyze the stability and robustness of the vehicle. Nonlinearities in cluded are present in the kinematics of the suspension and steering mechanisms, anti-roll bars, in the constitutive laws of springs, and in tire characteristics (including lateral slip, longitudinal slip, and in clination angles dependencies). The complete kinematic analysis of the suspension, including anti-roll bars, is previously computed off-line using suspension design software and finite elements-based soft ware. Each analysis is parameterized by the strut length of each quarter of the vehicle suspension and the rack travel of the steering system, thus all characteristic dimensions needed for force and moment computations in the equilibrium equations are stored in the form of double input tables (car database). These discrete values are linearly interpolated for non-stored values of the parameters. The nonlin ear kineto-static equilibrium equations for the vehicle in cornering configuration are solved in several nested stages using iterative Regula-Falsi methods for root finding of nonlinear equations. For a given vehicle setup and a given trim of the track, yaw moment diagrams and other characteristic curves could be obtained quickly, producing a readable map of controllability and robustness of the vehicle.
Fil: Pucheta, Martín Alejo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Risso, José. Universidad Nacional del Litoral. Centro de Investigación de Métodos Computacionales; Argentina.
Fil: Ciabattari, Javier. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Cardona, Alberto. Universidad Nacional del Litoral. Centro de Investigación de Métodos Computacionales; Argentina.
description — The analysis and optimization of full nonlinear flexible multi-body models of race car ve hicles often requiere long execution times. Vehicle dynamics engineers demand for particular-purpose, simplified or reduced models, to get quick results without losing accuracy, as well as customized pre processing and post-processing tools for combining lap-time simulators, tire characteristics interpo lators, and suspension kinematic simulators, among others. In this work, a simplified vehicle model for a sports car including all the main nonlinearities required to compute the steady-state behavior in cornering is presented. This software complements lap-time simulators that can predict the optimal lap time for a track but cannot analyze the stability and robustness of the vehicle. Nonlinearities in cluded are present in the kinematics of the suspension and steering mechanisms, anti-roll bars, in the constitutive laws of springs, and in tire characteristics (including lateral slip, longitudinal slip, and in clination angles dependencies). The complete kinematic analysis of the suspension, including anti-roll bars, is previously computed off-line using suspension design software and finite elements-based soft ware. Each analysis is parameterized by the strut length of each quarter of the vehicle suspension and the rack travel of the steering system, thus all characteristic dimensions needed for force and moment computations in the equilibrium equations are stored in the form of double input tables (car database). These discrete values are linearly interpolated for non-stored values of the parameters. The nonlin ear kineto-static equilibrium equations for the vehicle in cornering configuration are solved in several nested stages using iterative Regula-Falsi methods for root finding of nonlinear equations. For a given vehicle setup and a given trim of the track, yaw moment diagrams and other characteristic curves could be obtained quickly, producing a readable map of controllability and robustness of the vehicle.
publishDate 2016
dc.date.none.fl_str_mv 2016
2025-08-07T18:47:13Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv The 4th Joint International Conference on Multibody System Dynamics-May 29- June2,2016, Montréal, Canada.
https://hdl.handle.net/20.500.12272/13610
identifier_str_mv The 4th Joint International Conference on Multibody System Dynamics-May 29- June2,2016, Montréal, Canada.
url https://hdl.handle.net/20.500.12272/13610
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Pucheta, Martín Alejo; Risso, José; Ciabattari, Javier; Cardona, Alberto.
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
Pucheta, Martín Alejo; Risso, José; Ciabattari, Javier; Cardona, Alberto.
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Tecnológica Nacional Regional Córdoba.
publisher.none.fl_str_mv Universidad Tecnológica Nacional Regional Córdoba.
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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