Abstract

ASTM D6433 is used to assess the need for maintenance of pavement sections. Although the Pavement Condition Index (PCI) factor calculation method provides reliable values, this method analyzes sections and defects individually and indicates current maintenance needs, but it cannot be used to predict the occurrence of new defects. Therefore, it is necessary to complement this method by considering variables that influence the occurrence of faults, among which are the geospatial distribution and the specific characteristics of the slabs. This research focuses on the identification of multiple types of disturbances that exist in Portland Cement Pavements (PCC), located in a high traffic area in the city of Valdivia (Chile). A spatial geostatistical relationship is established through visual inspection using geographical maps, as well as distribution, using the kriging method. This technique makes use of variograms that allow quantifying the parameters used in this study, thus expressing the spatial autocorrelation of the faults analyzed. From the results obtained by spatial geostatistics and kriging, it is possible to generate a data correlation for the distribution and characteristics of the streets considered. In addition, a co-kriging method is established instead of an ordinary kriging method. The relationship between observed and predicted values improved from 0.3327 to 0.5770. The width of the slabs, as well as some streets, is shown in our analysis to be unimportant. For better model accuracy, the number of covariates associated with the type of vehicle traffic, the age and shape of the slabs, and the construction techniques used for the pavement needs to increase.

Highlights

  • Today, roads have gone from being rudimentary paths to modern streets and highways, conceived for foot traffic and for motor vehicle transportation on a large scale [1,2]

  • To carry out this analysis, according to the Pavement Condition Index (PCI) method indicated in the ASTM D6433-18 [7], visual inspections and measurements of distresses are made on the existing pavements, both flexible and rigid, generating a factor through which the priorities of action are established according to the severity of the damages observed in the different sections of the analyzed areas

  • The analysis focuses on identifying the main types of distresses present in the Portland Cement Concrete (PCC) pavements in the center of Valdivia (Chile) and the relation between them, using the Instructive for visual inspection of paved roads

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Summary

Introduction

Roads have gone from being rudimentary paths to modern streets and highways, conceived for foot traffic and for motor vehicle transportation on a large scale [1,2]. The distresses present in highways, roads, and streets are directly related to the comfort and security of the users, who could be subjected to a traffic accident at any moment [3,4]. There is a need to identify the distresses caused by the different parameters affecting roadways, with the goal of getting to the core of the problem and find a solution [5]. To this effect, relying on a method of evaluating the state of the pavement and the distresses presented therein is indispensable to an efficient identification of mitigation measures [6].

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