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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9868

    Título
    Modeling the international roughness index performance on semi-rigid pavements in single carriageway roads
    Autor
    Pérez Acebo, Heriberto
    Gonzalo Orden, HernánAutoridad UBU Orcid
    Findley, Daniel J.
    Rojí, Eduardo
    Publicado en
    Construction and Building Materials. 2021, V. 272, 121665
    Editorial
    Elsevier
    Fecha de publicación
    2021-02
    ISSN
    0950-0618
    DOI
    10.1016/j.conbuildmat.2020.121665
    Resumen
    Pavement deterioration models are a vital feature in any pavement management system since they are capable of predicting the evolution of pavement characteristics. Pavement roughness is measured by most of the highway administrations due to its relation to comfort and safety, generally by means of the International Roughness Index (IRI). The Regional Government of Biscay (Spain) has collected IRI values since 2000 on its road network. Although many models have been developed for flexible pavements, very few have been proposed for semi-rigid pavements. The paper aims to develop IRI prediction models for semi-rigid pavements in single-carriageway roads. Considering the high quantity of available information in the database, deterministic models were selected. Due to the importance of the pavement structure in IRI evolution observed in flexible models, only segments with completely known pavement details were employed, i.e., a section where the complete structure is known: materials and thickness of existing layers above the subgrade. The pavement age, as precise as practical, and the accumulated total traffic and heavy traffic through the section were identified as roughness accelerating factors. Conversely, the materials used in base and subbase layers, their thickness, and the total thickness of bituminous layers were observed as degradation reducing factors. Possible treated base and subbase materials included in the model were soil–cement, gravel-cement, and gravel and slag. The obtained model achieved a determination coefficient (R2) of 0.569. Additionally, the bituminous material of the surface layer was verified as an affecting factor too, which can be introduced to improve the model’s accuracy. Possible surface layer materials included dense (D) and semi-dense (S) asphalt concrete, with a maximum aggregate diameter of 16 and 22 mm, discontinuous mixing (BBTM 11A) and porous asphalt (PA 11). The additional model achieved a higher determination coefficient (0.645) and, hence, a more accurate IRI prediction resulted.
    Palabras clave
    International Roughness Index
    IRI
    Pavement performance model
    Semi-rigid pavement
    Pavement management system
    Deterministic model
    Pavement roughness
    Deterioration model, treated base
    Pavement deterioration
    Materia
    Pavimentos
    Pavements
    Carreteras
    Roads
    URI
    http://hdl.handle.net/10259/9868
    Versión del editor
    https://doi.org/10.1016/j.conbuildmat.2020.121665
    Aparece en las colecciones
    • Artículos LogIT
    Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Ficheros en este ítem
    Nombre:
    Perez-cbm_2021.pdf
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    942.0Kb
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