Cargando…

Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements

Polymer concrete (PC) is considered a promising repair material for asphalt pavement, since it has excellent paving performance and water stability. Although the mechanical properties of PC have been widely researched, the fatigue behavior of PC under traffic loads was still poorly understood. To pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Senzhi, Hu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319927/
https://www.ncbi.nlm.nih.gov/pubmed/35890717
http://dx.doi.org/10.3390/polym14142941
_version_ 1784755669248770048
author Ren, Senzhi
Hu, Xin
author_facet Ren, Senzhi
Hu, Xin
author_sort Ren, Senzhi
collection PubMed
description Polymer concrete (PC) is considered a promising repair material for asphalt pavement, since it has excellent paving performance and water stability. Although the mechanical properties of PC have been widely researched, the fatigue behavior of PC under traffic loads was still poorly understood. To predict the fatigue life and optimize the material design of PC, the semi-circular bending (SCB) tests were performed, considering different polymer content, sand ratio, aggregate features and stress condition. Two typical polymer materials were applied to prepare PC specimens, including epoxy resin (ER) and polyurethane (PU). The aggregate features were analyzed by the aggregate image measurement system. The mechanical behavior under repeated loads was investigated by the displacement, fatigue life and stiffness modulus. Results show that the flexural strength increases nonlinearly with the increasing polymer content, rapidly at first, and then slowly. The optimized polymer content and sand ratio were respectively 15% and 30%. As the loading number increases, the vertical displacement of PC shows three stages, i.e., undamaged stage, damage development stage, and fatigue failure stage. The stiffness modulus of the specimen is stress-dependent. An empirical model was developed to predict the fatigue life of PC, which can effectively capture the effects of the polymer content, sand ratio and stress level (or nominal stress ratio). It suggests that the fatigue life has a strong correlation with the mixing gradation, and the optimal sand ratio of PC can be determined by the proposed function. Moreover, the effect of aggregate shapes cannot be neglected.
format Online
Article
Text
id pubmed-9319927
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-93199272022-07-27 Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements Ren, Senzhi Hu, Xin Polymers (Basel) Article Polymer concrete (PC) is considered a promising repair material for asphalt pavement, since it has excellent paving performance and water stability. Although the mechanical properties of PC have been widely researched, the fatigue behavior of PC under traffic loads was still poorly understood. To predict the fatigue life and optimize the material design of PC, the semi-circular bending (SCB) tests were performed, considering different polymer content, sand ratio, aggregate features and stress condition. Two typical polymer materials were applied to prepare PC specimens, including epoxy resin (ER) and polyurethane (PU). The aggregate features were analyzed by the aggregate image measurement system. The mechanical behavior under repeated loads was investigated by the displacement, fatigue life and stiffness modulus. Results show that the flexural strength increases nonlinearly with the increasing polymer content, rapidly at first, and then slowly. The optimized polymer content and sand ratio were respectively 15% and 30%. As the loading number increases, the vertical displacement of PC shows three stages, i.e., undamaged stage, damage development stage, and fatigue failure stage. The stiffness modulus of the specimen is stress-dependent. An empirical model was developed to predict the fatigue life of PC, which can effectively capture the effects of the polymer content, sand ratio and stress level (or nominal stress ratio). It suggests that the fatigue life has a strong correlation with the mixing gradation, and the optimal sand ratio of PC can be determined by the proposed function. Moreover, the effect of aggregate shapes cannot be neglected. MDPI 2022-07-20 /pmc/articles/PMC9319927/ /pubmed/35890717 http://dx.doi.org/10.3390/polym14142941 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ren, Senzhi
Hu, Xin
Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements
title Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements
title_full Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements
title_fullStr Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements
title_full_unstemmed Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements
title_short Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements
title_sort fatigue properties and its prediction of polymer concrete for the repair of asphalt pavements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319927/
https://www.ncbi.nlm.nih.gov/pubmed/35890717
http://dx.doi.org/10.3390/polym14142941
work_keys_str_mv AT rensenzhi fatiguepropertiesanditspredictionofpolymerconcretefortherepairofasphaltpavements
AT huxin fatiguepropertiesanditspredictionofpolymerconcretefortherepairofasphaltpavements