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Fuzzy Logic Based Modeling for Pavement Characterization

  • Conference paper
Materials for Sustainable Infrastructure (GeoMEast 2017)


Maintenance decisions of existing pavements are highly dependent on stiffness and deterioration conditions, throughout their operation. A methodology based on non-conventional fuzzy logic is proposed in this work to evaluate the structural, functional and deterioration conditions of pavements by Fuzzy Inference Systems (FIS). The developed systems, allowed representing expert knowledge and linguistic variables of subjective and qualitative nature, commonly used to describe the severity levels of deterioration, strength and stiffness; thus FIS can be involved into structural characterization of pavements. Analyses were conducted using a database obtained from field tests performed on several pavement systems of toll roads in Colombia. Information about layer thicknesses, magnitude and severity of structural distresses, parameters and indicators derived from deflection test and International Roughness Index measures (IRI) were used. Results were expressed linguistically to make easier the interpretation and understanding. Based on the high quality of results obtained, it seems reasonable to conclude that the proposed methodology could be used confidently for a pavement characterization and sectorization purposes, with low computational cost.

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We thank H&F Ingenieria who provided measures information used to validate and test the proposed system.

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Correspondence to Mercado Pérez José Luis .

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Luis, M.P.J., Inés, B.C.G. (2018). Fuzzy Logic Based Modeling for Pavement Characterization. In: Struble, L., Tebaldi, G. (eds) Materials for Sustainable Infrastructure. GeoMEast 2017. Sustainable Civil Infrastructures. Springer, Cham.

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