La presente investigación lleva como título “Propuesta de Gestión para mantener la Rugosidad dentro de los Niveles de Servicio del contrato de concesión”. La investigación se enfoca en dar una alternativa de gestión que asegure mantener los niveles de servicio en lo referente a la calidad del pavimento cuando la carretera se encuentra en estado de conservación reduciendo el costo que se va a invertir en años futuros teniendo como base datos obtenidos desde el año 2010 al 2015. El deterioro prematuro del pavimento se ve afectado cuando no se tiene un plan de conservación adecuado que conlleve a programar y ejecutar actividades de mantenimiento rutinario y periódico con la finalidad de mantener los niveles de servicio en carreteras concesionadas. Esto conlleva que la condiciones de las redes viales se encuentren por debajo de lo que resulta deseable y conveniente, presentando un ciclo vicioso de la vía (Construcción – Abandono – Destrucción – Reconstrucción). La investigación es de tipo cuantitativo no experimental, descriptivo, correlacional y explicativo. Su diseño es longitudinal ya que tiene como referencia datos obtenidos desde el año 2010 al 2015. Se analizaron dos propuestas de gestión de conservación vial teniendo como base los datos procesados de los años 2010 al 2015 para obtener una alternativa que logre cumplir con el objetivo principal de ésta investigación. Finalmente se concluye que es posible formular una propuesta de gestión vial que permita optimizar el presupuesto de mantenimiento en los años proyectados conservando la calidad del pavimento. Analizando la posibilidad y conveniencia de postergar el mantenimiento periódico considerando que los valores de rugosidad, estén dentro de los niveles admisibles reemplazándolo por intervenciones de menor costo. This research is entitled "Management Proposal to maintain the roughness within Service Level concession contract." The research focuses on providing an alternative management to ensure maintain service levels in terms of the quality of the pavement when the road condition in reducing the cost to be reversed in future years on the basis of data from 2010 to 2015. Premature pavement deterioration is affected when there is no proper conservation plan that may lead to program and implement activities of routine and periodic maintenance in order to maintain service levels in toll roads. This means that the conditions of the road networks are below what is desirable and convenient, featuring a vicious cycle route (Construction - Abandonment - Destruction - Reconstruction). The research is not experimental, descriptive, correlational and quantitative explanatory. Its design is longitudinal and whose reference data from 2010 to 2015. Two proposals for road maintenance management on the basis of processed data for the years 2010 to 2015 for an alternative that would meet the main objective of this research is analyzed. Finally we conclude that it is possible to formulate a proposal for road management for optimizing the maintenance budget in projected years preserving the quality of the pavement. Analyzing the possibility and desirability of postponing regular maintenance considering that the roughness values, are within acceptable levels by replacing lower-cost interventions.

Mine haul road maintenance is traditionally done at scheduled intervals or after regular inspection. Both these methods can lead to unwarranted expenditure, either through over-maintaining the road, or failure to recognise significant deterioration, resulting in an increase in vehicle operating costs. Predictive maintenance management models for unpaved roads have been developed in recent years. These methods work well in a trivial environment where variables such as traffic volume can be predicted. However, many mining systems are too complex for such models to be effective. This work investigates the possibility of using haul truck response to aid haul road maintenance management. The approach adopted for the study was twofold: Firstly, can truck response data be used to recognise specific road defects, in terms of location, type and size? This is important since different defect types require different road maintenance strategies. Secondly, can road roughness be measured on a qualitative basis? With the emphasis on road defect reconstruction, a mathematical modelling approach was adopted. The truck was characterised in terms of its suspension and tyre properties. Dynamic truck response data was acquired during field measurements in which the vehicle was driven over defects of known dimensions. With these data sets available, mathematical modelling and simulation was possible. Quarter vehicle and seven degree of freedom vehicle models played a vital role in this work by laying a foundation in the use of haul truck response for the purpose of road defect reconstruction. A modelling methodology that is based on dynamic equilibrium of an independent front unsprung mass of the truck is proposed in which the vertical dynamic tyre force and eventually the road geometry is calculated. It is shown that defects can be reconstructed from measured truck response data with an accuracy sufficient to fulfil the requirements of defect recognition for road maintenance management purposes. Secondly, a preliminary investigation into the qualitative assessment of road condition via truck response measurements was conducted. The inherent response properties of the truck pertaining to road roughness measurement were studied and some correlation between measured suspension motion and road roughness measured with a high speed profilometer was found. / Dissertation (MEng (Mechanical))--University of Pretoria, 2005. / Mechanical and Aeronautical Engineering / MEng / Unrestricted