Correlación del estado superficial y estructural de las estructuras de pavimento

dc.contributor.advisorMurillo Feo, Carol Andreaspa
dc.contributor.authorHernández Morales, Joan Nicolásspa
dc.contributor.researchgroupGRUPO DE GEOTECNIA GENKI "Geotechnical Knowledge and Innovation"spa
dc.date.accessioned2020-05-19T20:41:07Zspa
dc.date.available2020-05-19T20:41:07Zspa
dc.date.issued2020-02-01spa
dc.description.abstractLa evaluación estructural y superficial en las estructuras de pavimento, es fundamental para establecer los criterios de gestión y administración vial a cargo de las entidades gubernamentales. En este trabajo de investigación se evalúa la correlación existente entre la evaluación del estado superficial con el Perfilometro Laser PL y la evaluación del estado estructural mediante el deflectómetro de impacto FWD; haciendo énfasis no solo en el Índice de Regularidad Internacional IRI sino además en el análisis de señales mediante transformaciones matemáticas como la Transformada Rápida de Fourier FFT, análisis de Densidad Espectral de Potencia PSD y Transformadas Discretas Wavelet DWT, análisis de parámetros de cuenco de deflexión y metodologías de retrocalculo AASHTO y YONAPAVE. Para esto, se realiza un estudio de las características y condiciones de servicio de segmentos viales con tres (3) niveles de deterioro, teniendo en cuenta variables como la velocidad de ejecución de ensayos con el PL. Asimismo, se hace una evaluación de serviciabilidad mediante el índice de condición PCI complementado con ensayos de macrotextura superficial, y la medición del espesor de las capas de las estructuras de pavimento con el Georradar GPR. Finalmente, se obtienen buenos resultados del análisis espectral con mayor precisión en la identificación de irregularidades mediante las Transformadas Wavelet. Además, se establecen los rangos o umbrales de medición para cada uno de los parámetros tenidos en cuenta junto con el Índice de Condición ICN, encontrando una correlación en la evaluación estructural y superficial de las estructuras de pavimento.spa
dc.description.abstractThe structural and superficial evaluation of pavement structures is essential to establish the criteria for Pavement Management System by government entities. In this research the correlation between the evaluation of the surface state with Profilometer Laser PL and the evaluation of the structural state through FWD impact deflectometer is evaluated; emphasizing not only in the International Regularity Index IRI but also in the analysis of signals through mathematical transformations such as Fast Fourier Transformation FFT, Power Spectral Density Analysis PSD and Discrete Wave Transformations DWT, analysis of deflection bowl parameters and retro calculation methodologies AASHTO and YONAPAVE. For this purpose, a study of the characteristics and service conditions of the road sections with three (3) levels of deterioration is carried out, considering variables such as the speed of execution with PL test, among others. Similarly, serviceability assessment is performed using Pavement Condition Index PCI complementary with Surface Macrotexture tests, and the measurement of the thickness of the layers of the pavement structures with Georradar GPR. Finally, good results of the spectral analysis are obtained with greater precision in the identification of irregularities by means of Wavelet Transforms. Also, the ranges or thresholds for each of the parameters considered together with the ICN condition index are established finding a correlation in the structural and superficial evaluation of pavement structures.spa
dc.description.additionalMagíster en Ingeniería - Geotecnia. Línea de Investigación: Materiales y pavimentosspa
dc.description.degreelevelMaestríaspa
dc.format.extent170spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.citationHernández, N., & Murillo, C. (2020). Correlación del estado superficial y estructural de las estructuras de pavimento. Universidad Nacional de Colombia. Bogotá D.C..spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/77537
dc.language.isospaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.programBogotá - Ingeniería - Maestría en Ingeniería - Geotecniaspa
dc.relation.referencesAbelló, N. (2015). Una infraestructura vial que avanza y se afianza. In Ministerio de Transporte de la Republica de Colombia. Bogotá: Publicacion, La Republica.spa
dc.relation.referencesAlhasan, A., White, D. J., & De Brabanterb, K. (2016). Continuous wavelet analysis of pavement profiles. Automation in Construction, 63, 134–143. https://doi.org/10.1016/j.autcon.2015.12.013spa
dc.relation.referencesAmerican Association of State Highway and Transportation Officials, W. D. (1993). AASHTO Guide For Design Of Pavement Structures. Washington D.C.spa
dc.relation.referencesAmerican Society for Testing and Materials ASTM D 6433. (2007). Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys. West Conshohocken.spa
dc.relation.referencesAmerican Society for Testing and Materials ASTM D950. (2004). Standard Test Method for Measuring the Longitudinal Profile of Traveled Surfaces with an Accelerometer Established Inertial Profiling. West Conshohocken.spa
dc.relation.referencesAndren, P. (2015). Power spectral density approximations of longitudinal road profiles. International Journal of Vehicle Design, 40(No 1/2/3, January 2006). https://doi.org/10.1504/IJVD.2006.008450spa
dc.relation.referencesApuntesDeSeñales. (2006). Introducción a la Transformada Wavelet Introducción. Pamplona, España. Retrieved from http://www.exa.unicen.edu.ar/escuelapav/cursos/wavelets/apunte.pdfspa
dc.relation.referencesArriaga Patiño, M. C., Anguas, P. G., & Rico Rodriguez, A. (1998). Índice Internacional De Rugosidad En La Red Carretera De México, (108), 1–57. Retrieved from http://imt.mx/archivos/Publicaciones/PublicacionTecnica/pt108.pdfspa
dc.relation.referencesBenedetto, A., & Tosti, F. (2013). Inferring bearing ratio of unbound materials from dialectric properties using GPR : the case of Runaway Safety Areas. Airfield and Highway Pavement 2013: Sustainable and Efficient Pavements, ASCE, 1336–1347.spa
dc.relation.referencesBenedetto, A., Tosti, F., Schettini, G., & Twizere, C. (2011). Evaluation of geotechnical stability of road using GPR. 2011 6th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2011, 1–6. https://doi.org/10.1109/IWAGPR.2011.5963858spa
dc.relation.referencesCaicedo, B., Murillo, C. A., & Tristancho, J. A. (2017). “Medida Perfil Longitudinal de un Pavimento Mediante Navegacion Inercial,” (September 2017), 19–26.spa
dc.relation.referencesCaro, F., & Peña, G. (2012). Análisis y criterios para el cálculo del Índice de Rugosidad Internacional (IRI) en vías urbanas colombianas que orienten la elaboración de una especificación técnica. Intekhnia, 7(51), 57–72.spa
dc.relation.referencesChen, D., Roohi Sefidmazgi, N., & Bahia, H. (2015). Exploring the feasibility of evaluating asphalt pavement surface macro-texture using image-based texture analysis method. Road Materials and Pavement Design, 16(2), 405–420. https://doi.org/10.1080/14680629.2015.1016547spa
dc.relation.referencesCote, L. J., Kozin, F., & Bogdanoff, J. L. (1996). `Introduction to a statistical theory of land locomotion - I’. Journal of Terramechanics, 2, 17–23.spa
dc.relation.referencesGoenaga, B., Fuentes, L., & Mora, O. (2017). Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density : a n approach based on the International Roughness Index Análisis de las metodologías utilizadas para generar perfiles aleatorios, 2017, 49–57. https://doi.org/10.15446/ing.investig.v37n1.57277spa
dc.relation.referencesGomez, O., & Murillo, C. (2015). Criterios de optimización del diseño de sobrecarpetas asfálticas para Bogotá, basados en ensayos no destructivos. Universidad Nacional de Colombia. Retrieved from http://www.bdigital.unal.edu.co/48570/spa
dc.relation.referencesHasanuddin, Setyawan, A., & Yulianto, B. (2018). Evaluation of Road Performance Based on International Roughness Index and Falling Weight Deflectometer. IOP Conference Series: Materials Science and Engineering, 333(1). https://doi.org/10.1088/1757-899X/333/1/012090spa
dc.relation.referencesHassan, R., & Kerry, M. (2001). Estimating dynamic loading of pavements from surface profile properties. Road and Transport Research, 10(3).spa
dc.relation.referencesHoffman, M. S. (2003). A Direct Method for Evaluating the Structural Needs of Flexible Pavements Based on FWD Deflections. Engineering Consulting, Israel, 1–13.spa
dc.relation.referencesHoffman, M. S., & Aguila, P. M. D. E. L. (1985). Estudios de evaluación estructural de pavimentos basados en la interpretación de curvas de deflexiones (ensayos no destructivos).spa
dc.relation.referencesHorak, E. (2008). Benchmarking the structural condition of flexible pavements with deflection bowl parameters. South African Institute of Civil Engineering Journal, 50(2), 2–9.spa
dc.relation.referencesHorak, E., & Emery, S. (2006). Falling Weight Deflectometer Bowl Parameters as Analysis Tool for Pavement Structural Evaluations. 22nd Australian Road Research Board Conference, 15. Retrieved from https://trid.trb.org/view.aspx?id=795808spa
dc.relation.referencesHoubolt, J. C., Walls, J. ., & Smiley, R. F. (1955). “On spectral analysis of runway roughness and loads developed during taxiing.” Technical Note 348, Langley Aeronautical Laboratory, National Advisory Committee for Aeronautics, Langley Field, VA.spa
dc.relation.referencesHu, F. (2006). Development and evaluation of an inertial based pavement roughness measuring system. University of South Florida.spa
dc.relation.referencesISO. (2016). Mechanical vibration - Road surface profiles - Reporting of measured data - International Organization For Standardization, 2016.spa
dc.relation.referencesJ.C. Wambold, L.E. Defrain, R.R. Hegmon, K. Mcghee, J. Reichert, E. B. S. (1981). State of the Art of Measurement and Analysis of Road Roughness. Transportation Research Procedia.spa
dc.relation.referencesJames, J. F. (2011). A Student´s Guide to Fourier Transforms (3th editon). New York: Cambridge University Press.spa
dc.relation.referencesLiu, B. (2009). 159.735 Studies in Parallel and Distributed System-Parallel Fast Fourier Transform. University of New Zealand.spa
dc.relation.referencesLosa, M., Leandri, P., & Bacci, R. (2008). Monitoring and Evaluating Performance Requirements of Flexible Road Pavements. Transportation and Development Innovative Best Practices, 2008, 1–6.spa
dc.relation.referencesLushnikov, N., & Lushnikov, P. (2017). Methods of Assessment of Accuracy of Road Surface Roughness Measurement with Profilometer. Transportation Research Procedia, 20(September 2016), 425–429. https://doi.org/10.1016/j.trpro.2017.01.069spa
dc.relation.referencesMeier, R. W. (1995). Backcalculation of flexible pavement moduli from falling weight deflectometer data using artificial neural networks. ProQuest Dissertations and Theses, (April), 239-239 p. Retrieved from http://search.proquest.com/docview/304208449?accountid=41453spa
dc.relation.referencesMichael W Sayers, Thomas D. Gillespie, and W. D. 0. P. (1986). Guidelines for Conducting and Calibrating Road Roughness Measurements. World Bank Technical Paper Number 46. Retrieved from https://deepblue.lib.umich.edu/bitstream/handle/2027.42/3133/72764.pdf?sequence=2spa
dc.relation.referencesMiller, T., Swiertz, D., Tashman, L., Tabatabaee, N., & Bahia, H. (2012). Characterization of Asphalt Pavement Surface Texture. Transportation Research Record: Journal of the Transportation Research Board, 2295, 19–26. https://doi.org/10.3141/2295-03spa
dc.relation.referencesMoreno, L. J. (2016). Influencia de la velocidad en la medición de IRI con el equipo perfilometro láser. Universidad Militar Nueva Granada.spa
dc.relation.referencesOsgood, B. (2019). Lectures on the Fourier Transform and its Applications. (Committee, Ed.). Providence Rhode Island: American Mathematical Society.spa
dc.relation.referencesPark, S. S., Bobet, A., & Nantung, T. E. (2018). Correlation between Resilient Modulus (MR) of Soil, Light Weight Deflectometer (LWD), and Falling Weight Deflectometer (FWD). West Lafayette-Join Transportation Research Program Publication No. FHWA/IN/TRP-201/08. https://doi.org/10.5703/1288284316651spa
dc.relation.referencesPawar, P. R., Tom, A., & Saraf, M. R. (2018). IRI ( International Roughness Index ): An Indicator Of Vehicle Response. Materials Today: Proceedings, 5(5), 11738–11750. https://doi.org/10.1016/j.matpr.2018.02.143spa
dc.relation.referencesPoularikas, A. D. (2010). Transforms and Applications Handbook. (T. and F. Group, Ed.) (3rd ed). New York.spa
dc.relation.referencesPraticò, F. G., & Vaiana, R. (2015). A study on the relationship between mean texture depth and mean profile depth of asphalt pavements. Construction and Building Materials, 101, 72–79. https://doi.org/10.1016/j.conbuildmat.2015.10.021spa
dc.relation.referencesRajaei, M., Sefidmazgi, N., & Bahia, H. (2014). Establishment of Relationship Between Pavement Surface Friction and Mixture Design Properties. Transportation Research Record: Journal of the Transportation Research Board, 2457(1), 114–120. https://doi.org/10.3141/2457-12spa
dc.relation.referencesSayers, M W, & Karamihas, S. M. (1998). The little book of profiling. Basic Information about Measuring and Interpreting Road Profiles.spa
dc.relation.referencesSayers, Michael W. (1986). On the Calculation of International Roghness Index from Longitudinal Road Profile. Transportation Research Record, 12.spa
dc.relation.referencesSayers, Michael W., Gillespie, T. D., & Queiroz, C. a V. (1986). The International Road Roughness Experiment - Establishing Correlation and a Calibration Standard for Measurements. The World Bank Technical Paper.spa
dc.relation.referencesStéphane, M. (2009). The Fourier Kingdom. A Wavelet Tour of Signal Processing. https://doi.org/10.1016/B978-0-12-374370-1.00006-9spa
dc.relation.referencesStokoe, H., Hudson, R., & Miner, B. F. (1991). The Falling Weight Deflectometer And Spectral Analysis of Surface Waves Test For Characterizing Pavement Moduli: A Case Study. Center for Transportation Research The University of Texas, Austin-Texas.spa
dc.relation.referencesThenoux, G., & Gaete, R. (1995). Evaluación Técnica Del Pavimento Y De Refuerzo Asfáltico. Revista Ingeniería de Construcción, (14), 22. https://doi.org/10.7764/ricuc.0.14.364spa
dc.relation.referencesUniversidad Nacional de Colombia, I., & INVIAS, I. (2006). Estudio e investigación del estado actual de manual para la inspección visual de las obras. Convenio Interadministrativo 0587-03, Bogotá D.C.spa
dc.relation.referencesVargas, G. B., & Obando, D. S. (2010). Definición De Rangos Para La Clasificación Estructural Y Funcional De La Red Vial Nacional De Costa Rica, 20, 109–119.spa
dc.relation.referencesVilla, C. A. C. (2007). Predicción del indice de rugosidad internacional en pavimentos flexibles usado redes neuronales artificiales, 71, 39–47. https://doi.org/10.1016/j.clinbiochem.2008.04.008spa
dc.relation.referencesW. Carey, H. Huckins, R. L. (1962). Slope Variance as a Measure of Roughness And the CHLOE Profilometer. Highway Research Board Conference on the AASHO Road Test, (St Louis MO United States).spa
dc.relation.referencesWei, L., Fwa, T. F., & Zhe, Z. (2005). Wavelet Analysis and Interpretation of Road Roughness. Journal of Transportation Engineering, 131(2), 120–130. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:2(120)spa
dc.rightsDerechos reservados - Universidad Nacional de Colombiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial 4.0 Internacionalspa
dc.rights.spaAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/spa
dc.subject.ddc620 - Ingeniería y operaciones afinesspa
dc.subject.proposalPerfilómetro láserspa
dc.subject.proposalLaser Profilometereng
dc.subject.proposalFWDspa
dc.subject.proposalFWDeng
dc.subject.proposalIRIspa
dc.subject.proposalIRIeng
dc.subject.proposalRetrocálculospa
dc.subject.proposalRetrocalculationeng
dc.subject.proposalSpectral Analysiseng
dc.subject.proposalAnálisis espectralspa
dc.titleCorrelación del estado superficial y estructural de las estructuras de pavimentospa
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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