Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Development of Permanent Deformation Models with the Inclusion of AIMS Coarse Aggregate Angularity
Permanent deformation is a critical failure mechanism and a serviceability performance indicator in flexible pavement that can be influenced by the potential of coarse aggregate stone-to-stone interlocking properties. Interlocking is dependent on coarse aggregate angularity and this has an effect on rut susceptibility of mixtures. Although research into the effects of angularity on mixes has been ongoing for over six decades, this study aimed to investigate and develop a permanent deformation model that includes the description and effects due to changes in coarse aggregate angularity. The aim was accomplished by conducting laboratory aggregate test using Aggregate Imaging System (AIMS) and Repeated Load Axial Test (RLAT) of four mixes (rounded, sub-rounded, sub-angular, angular) designed and classified with different combinations of AIMS coarse aggregate angularity index (CAI). The results revealed that there is a correlation between coarse aggregate angularity and laboratory-measured axial permanent deformation strains. Most empirical deformation prediction models do not account for the direct inclusion of an angularity parameter. The study explores the use of multiple non-linear regression (MNLR) and gene expression programming (GEP) as unconventional approaches to predict, simulate and evaluate the effects of particle angularity on permanent deformation behaviour of asphalt concrete (AC). The soft computing approach had satisfactory outcomes of the estimation of permanent deformation (R2 = 0.957) with an inclusion of an angularity parameter over that of the regression estimations (R2 = 0.891). Observations concluded that with some improvements the laboratory model could be used to predict and rank mixes base on the permanent deformation behaviour.
Development of Permanent Deformation Models with the Inclusion of AIMS Coarse Aggregate Angularity
Permanent deformation is a critical failure mechanism and a serviceability performance indicator in flexible pavement that can be influenced by the potential of coarse aggregate stone-to-stone interlocking properties. Interlocking is dependent on coarse aggregate angularity and this has an effect on rut susceptibility of mixtures. Although research into the effects of angularity on mixes has been ongoing for over six decades, this study aimed to investigate and develop a permanent deformation model that includes the description and effects due to changes in coarse aggregate angularity. The aim was accomplished by conducting laboratory aggregate test using Aggregate Imaging System (AIMS) and Repeated Load Axial Test (RLAT) of four mixes (rounded, sub-rounded, sub-angular, angular) designed and classified with different combinations of AIMS coarse aggregate angularity index (CAI). The results revealed that there is a correlation between coarse aggregate angularity and laboratory-measured axial permanent deformation strains. Most empirical deformation prediction models do not account for the direct inclusion of an angularity parameter. The study explores the use of multiple non-linear regression (MNLR) and gene expression programming (GEP) as unconventional approaches to predict, simulate and evaluate the effects of particle angularity on permanent deformation behaviour of asphalt concrete (AC). The soft computing approach had satisfactory outcomes of the estimation of permanent deformation (R2 = 0.957) with an inclusion of an angularity parameter over that of the regression estimations (R2 = 0.891). Observations concluded that with some improvements the laboratory model could be used to predict and rank mixes base on the permanent deformation behaviour.
Development of Permanent Deformation Models with the Inclusion of AIMS Coarse Aggregate Angularity
RILEM Bookseries
Di Benedetto, Hervé (Herausgeber:in) / Baaj, Hassan (Herausgeber:in) / Chailleux, Emmanuel (Herausgeber:in) / Tebaldi, Gabriele (Herausgeber:in) / Sauzéat, Cédric (Herausgeber:in) / Mangiafico, Salvatore (Herausgeber:in) / Leon, Lee P. (Autor:in)
RILEM International Symposium on Bituminous Materials ; 2020 ; Lyon, France
Proceedings of the RILEM International Symposium on Bituminous Materials ; Kapitel: 71 ; 559-565
RILEM Bookseries ; 27
26.09.2021
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
| British Library Online Contents | 2011