Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index

The pavement roughness is the main variable that produces the vertical excitation in vehicles. Pavement profiles are the main determinant of (i) discomfort perception on users and (ii) dynamic loads generated at the tire-pavement interface, hence its evaluation constitutes an essential step on a Pav...

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Autores:
Goenaga, Boris Jesús
Fuentes Pumarejo, Luis Guillermo
Mora Lerma, Otto Andrés
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67588
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67588
http://bdigital.unal.edu.co/68617/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Random process
power spectral density
sinusoidal approximation
shaping filter
pavement profile
roughnesd
Proceso aleatorio
densidad de potencia espectral, Aproximación sinusoidal
filtro de forma
perfil del pavimento
rugosidad
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_038e98f72b564d1a5f9ca12b3ff5c295
oai_identifier_str oai:repositorio.unal.edu.co:unal/67588
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
title Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
spellingShingle Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
62 Ingeniería y operaciones afines / Engineering
Random process
power spectral density
sinusoidal approximation
shaping filter
pavement profile
roughnesd
Proceso aleatorio
densidad de potencia espectral, Aproximación sinusoidal
filtro de forma
perfil del pavimento
rugosidad
title_short Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
title_full Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
title_fullStr Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
title_full_unstemmed Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
title_sort Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index
dc.creator.fl_str_mv Goenaga, Boris Jesús
Fuentes Pumarejo, Luis Guillermo
Mora Lerma, Otto Andrés
dc.contributor.author.spa.fl_str_mv Goenaga, Boris Jesús
Fuentes Pumarejo, Luis Guillermo
Mora Lerma, Otto Andrés
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Random process
power spectral density
sinusoidal approximation
shaping filter
pavement profile
roughnesd
Proceso aleatorio
densidad de potencia espectral, Aproximación sinusoidal
filtro de forma
perfil del pavimento
rugosidad
dc.subject.proposal.spa.fl_str_mv Random process
power spectral density
sinusoidal approximation
shaping filter
pavement profile
roughnesd
Proceso aleatorio
densidad de potencia espectral, Aproximación sinusoidal
filtro de forma
perfil del pavimento
rugosidad
description The pavement roughness is the main variable that produces the vertical excitation in vehicles. Pavement profiles are the main determinant of (i) discomfort perception on users and (ii) dynamic loads generated at the tire-pavement interface, hence its evaluation constitutes an essential step on a Pavement Management System. The present document evaluates two specific techniques used to simulate pavement profiles; these are the shaping filter and the sinusoidal approach, both based on the Power Spectral Density. Pavement roughness was evaluated using the International Roughness Index (IRI), which represents the most used index to characterize longitudinal road profiles. Appropriate parameters were defined in the simulation process to obtain pavement profiles with specific ranges of IRI values using both simulation techniques. The results suggest that using a sinusoidal approach one can generate random profiles with IRI values that are representative of different road types, therefore, one could generate a profile for a paved or an unpaved road, representing all the proposed categories defined by ISO 8608 standard. On the other hand, to obtain similar results using the shaping filter approximation a modification in the simulation parameters is necessary. The new proposed values allow one to generate pavement profiles with high levels of roughness, covering a wider range of surface types. Finally, the results of the current investigation could be used to further improve our understanding on the effect of pavement roughness on tire pavement interaction. The evaluated methodologies could be used to generate random profiles with specific levels of roughness to assess its effect on dynamic loads generated at the tire-pavement interface and user’s perception of road condition.
publishDate 2017
dc.date.issued.spa.fl_str_mv 2017-01-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:36:57Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:36:57Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2248-8723
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identifier_str_mv ISSN: 2248-8723
url https://repositorio.unal.edu.co/handle/unal/67588
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dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/57277
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Goenaga, Boris Jesús and Fuentes Pumarejo, Luis Guillermo and Mora Lerma, Otto Andrés (2017) Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index. Ingeniería e Investigación, 37 (1). pp. 49-57. ISSN 2248-8723
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Goenaga, Boris Jesúsb4d6a2b9-a6f8-406c-84f7-a280ddd8c9a3300Fuentes Pumarejo, Luis Guillermo0d928c7f-6f8b-4c95-a8e8-0b289a0a6905300Mora Lerma, Otto Andrésd722c5de-9392-44c8-afd8-ff862a07ea043002019-07-03T04:36:57Z2019-07-03T04:36:57Z2017-01-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67588http://bdigital.unal.edu.co/68617/The pavement roughness is the main variable that produces the vertical excitation in vehicles. Pavement profiles are the main determinant of (i) discomfort perception on users and (ii) dynamic loads generated at the tire-pavement interface, hence its evaluation constitutes an essential step on a Pavement Management System. The present document evaluates two specific techniques used to simulate pavement profiles; these are the shaping filter and the sinusoidal approach, both based on the Power Spectral Density. Pavement roughness was evaluated using the International Roughness Index (IRI), which represents the most used index to characterize longitudinal road profiles. Appropriate parameters were defined in the simulation process to obtain pavement profiles with specific ranges of IRI values using both simulation techniques. The results suggest that using a sinusoidal approach one can generate random profiles with IRI values that are representative of different road types, therefore, one could generate a profile for a paved or an unpaved road, representing all the proposed categories defined by ISO 8608 standard. On the other hand, to obtain similar results using the shaping filter approximation a modification in the simulation parameters is necessary. The new proposed values allow one to generate pavement profiles with high levels of roughness, covering a wider range of surface types. Finally, the results of the current investigation could be used to further improve our understanding on the effect of pavement roughness on tire pavement interaction. The evaluated methodologies could be used to generate random profiles with specific levels of roughness to assess its effect on dynamic loads generated at the tire-pavement interface and user’s perception of road condition.La rugosidad del pavimento es la principal variable que produce la excitación vertical en los vehículos. Los perfiles de pavimento son los principales responsables de (i) la incomodidad percibida por los usuarios y, (ii) las cargas dinámicas generadas en la interfaz entre el neumático y el pavimento, de ahí que su evaluación constituye un paso esencial en un Sistema de Gestión de Pavimentos. El presente documento evalúa dos técnicas específicas utilizadas para simular perfiles de pavimento; estos son los filtros de forma y la aproximación sinusoidal, ambos basados en la Densidad de Potencia Espectral. La rugosidad del pavimento se evaluó utilizando el Índice Rugosidad Internacional (IRI), el cual es el índice más utilizado para caracterizar rugosidad del perfil longitudinal de una vía. En la presente investigación se definieron parámetros apropiados en el proceso de simulación para obtener perfiles de pavimento con rangos específicos de los valores de IRI utilizando ambas técnicas de simulación. Los resultados sugieren que el uso de la aproximación sinusoidal puede generar perfiles aleatorios con valores de IRI que son representativos de diferentes tipos de vías, por lo tanto, se podría generar un perfil para un pavimento nuevo o una vía sin pavimentar, cubriendo todas las categorías definidas por la norma ISO 8608. Por otro lado, para obtener resultados similares usando la metodología de filtro de conformación, es necesaria una modificación en los parámetros de simulación. Los nuevos valores propuestos permiten generar perfiles de pavimento con altos niveles de rugosidad, que cubren una gama más amplia de tipos de superficie. Por último, los resultados de la presente investigación se podrían utilizar para enriquecer lo que se conoce sobre el efecto de la rugosidad del pavimento en la interacción del pavimento de neumáticos. Las metodologías analizadas se podrían utilizar para generar perfiles aleatorios con niveles específicos de rugosidad (IRI) para evaluar su efecto sobre las cargas dinámicas generadas en la interfaz neumático-pavimento y la percepción del usuario del estado de la carretera.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/57277Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónGoenaga, Boris Jesús and Fuentes Pumarejo, Luis Guillermo and Mora Lerma, Otto Andrés (2017) Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness Index. Ingeniería e Investigación, 37 (1). pp. 49-57. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringRandom processpower spectral densitysinusoidal approximationshaping filterpavement profileroughnesdProceso aleatoriodensidad de potencia espectral, Aproximación sinusoidalfiltro de formaperfil del pavimentorugosidadEvaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the International Roughness IndexArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL57277-325925-1-PB.pdfapplication/pdf842123https://repositorio.unal.edu.co/bitstream/unal/67588/1/57277-325925-1-PB.pdf33ffb72387f1a953825fe2620d5e3650MD51THUMBNAIL57277-325925-1-PB.pdf.jpg57277-325925-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9254https://repositorio.unal.edu.co/bitstream/unal/67588/2/57277-325925-1-PB.pdf.jpg3f8f32e8292e1c0f771dcb358d0469daMD52unal/67588oai:repositorio.unal.edu.co:unal/675882024-05-22 23:33:51.658Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co