Constitutive models of pavement asphaltic layers based on mixture compositions

Artur Zbiciak , Karol Brzeziński , Rafał Michalczyk


The design of flexible and semi-rigid pavements by applying mechanistic-empirical methods involves the determination of the stress and strain states in accordance with the assumptions of continuum mechanics. Advanced computational models should take into account the rheological properties of asphalt layers. Precise identification of visco-elastic parameters of asphalt aggregate mixtures requires a lot of expensive laboratory experiments. The objective of this paper is to propose a new method allowing the identification of visco-elastic constitutive parameters based only on the mixture composition. The effectiveness of the proposed approach is exemplified in the paper by numerical calculations. Two linear rheological models were analyzed: the classical Burgers model and the Huet-Sayegh model described by fractional derivatives. Constitutive parameters of both models were obtained from the appropriate optimization algorithms and numerical techniques for determining inverse Laplace transforms.
Author Artur Zbiciak (FCE / IRB)
Artur Zbiciak,,
- The Institute of Roads and Bridges
, Karol Brzeziński (FCE / IRB)
Karol Brzeziński,,
- The Institute of Roads and Bridges
, Rafał Michalczyk (FCE / IRB)
Rafał Michalczyk,,
- The Institute of Roads and Bridges
Journal seriesJournal of Civil Engineering and Management, ISSN 1392-3730
Issue year2017
Publication size in sheets0.5
Keywords in Englishasphalt pavements, asphalt-aggregate mixtures, mechanistic-empirical design, constitutive models, rheology, visco-elasticity, Laplace transforms, curve fitting
ASJC Classification1408 Strategy and Management; 2205 Civil and Structural Engineering
Languageen angielski
Constitutive models of pavement asphaltic layers based on mixture compositions.pdf 1.59 MB
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 04-05-2020, ArticleFromJournal
Publication indicators WoS Citations = 4; Scopus Citations = 5; GS Citations = 9.0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.067; WoS Impact Factor: 2017 = 1.66 (2) - 2017=1.749 (5)
Citation count*9 (2020-05-23)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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