The changes in the mechanical properties of neat and SBS-modified HMA pavements due to traffic loads and environmental effects over a one-year period

Traffic and environmental conditions are key parameters in road applications. Empirical studies and numerical analyses, which are widely adopted in material design studies, are used for analysing superstructures of the roads, and developmental approaches are improved for future designs as well. In flexible pavements, polymer and fibre-reinforced additives are frequently used to make them durable against deteriorations and to extend their service life. One of the additives that is mostly preferred is the Styrene Butadiene Styrene (SBS) material thanks to a variety of their physical and chemical properties. Physical and mechanical properties of the natural ground layer and its interactions with the superstructure are crucial parameters in terms of performance under various environmental and traffic conditions. In this study, the use of SBS-modified Hot Mix Asphalt (HMA) was examined as a flexible superstructure, and the mechanical properties of the granular base and the natural ground layer were tested. The stress and deformation occurring within layers in various periods were also considered. The presented study is a suitable tool for the use of additives that significantly contribute to the mechanical properties and service life of the roads. In this study, it is concluded that the use of additives significantly improves the mechanical response and service life of the roads.

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“…Table 1. Classification of the core samples obtained by drilling on the HMA mixtures (Karakaş et al, 2014;Karakas et al, 2015)…”

Section: Field Work and Experimental Proceduresmentioning

confidence: 99%

Prediction of Mechanical Alterations in Multi-Layer Sbs-Modified Hot Mix Asphalt and Soil-Foundation Structure

Karakaş

Örteş

2021

BJRBE

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“…The wheel rolling action of overloaded trucks’ is one of the major causes of permanent deformation and a reduction of pavement performance of asphalt mixture surface layer [1,2]. Heavy loads increase the contact and resistance between the tire and the ground, which accelerate the polishing effect of pavement surface, resulting in the decline of the skid resistance of the asphalt mixture and increasing the risk for traffic safety [3,4].…”

Section: Introductionmentioning

confidence: 99%

Performance Degradation of Large-Sized Asphalt Mixture Specimen under Heavy Load and Its Affecting Factors Using Multifunctional Pavement Material Tester

Xie

et al. 2019

Materials

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With the increase of heavy traffic transportation, it is meaningful to study the performance change of pavements under heavy loads. To study the development of asphalt mixture under heavy load, an AC-13 asphalt mixture was prepared and a large-sized specimen wheel tracking test was conducted. Samples from different periods were extracted to research the influence of the cumulative load times under heavy load on asphalt mixtures. It was found that there were different variation rules on the performance of the asphalt mixture under different load conditions. The failure time on skid resistance was predicted by the fitting curve. Heavy load conditions would greatly speed up the failure of skid resistance. According to the sieving results, the stable gradation of 10–16 mm, 5–10 mm, 3–5 mm, and 0–3 mm after heavy load grinding was 10%, 37%, 23%, and 30%. It was found that the content of 10–16 mm had a significant correlation with the permanent deformation of the asphalt mixture, while there were no significant correlation between aggregate and skid resistance.

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“…Marshall testi ile ölçülen stabilite ve akma değerleri, belirli bitüm oranı ve sıkışma koşulları altında bitümlü sıcak karışımlarla imal edilen karayolu kaplamasının kalıcı deformasyonlara karşı direnç yeteneğinin ölçüsü olarak "Stabilite / Akma" şeklinde kullanılabilmektedir. "Stabilite / Akma" değerinin büyük olması daha yüksek kalıcı deformasyon direnci ile ilişkilendirilir [6][7][8][9]. Ancak Marshall testinin uygulama süreci görece uzun ve sofistike yapıdadır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

“…"Stabilite / Akma" değerinin büyük olması daha yüksek kalıcı deformasyon direnci ile ilişkilendirilir [6][7][8][9]. Ancak Marshall testinin uygulama süreci görece uzun ve sofistike yapıdadır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Bi̇tümlü Sicak Karişimlara Ai̇t Akma Değeri̇ni̇n Regresyon Modelleri̇ İle Tahmi̇ni̇

Arslan

Bayırtepe

2018

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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ÖzBu çalışmada, bitümlü sıcak karışım özelliklerinden olan ve Marshall Testi ile deneysel olarak belirlenebilen akma değerinin malzeme ve karışım özellikleri temelinde regresyon modelleri ile tahmin edilmesi amaçlanmıştır. Bu kapsamda Ankara Büyükşehir Belediyesi sınırları dahilindeki aşınma ve binder tabakalarının inşaatına yönelik bitümlü sıcak karışım uygulamalarına ait veriler derlenmiş ve uygulama temelinde 4680 adet gözlem içeren veri grubu oluşturulmuştur. Veri grubuna regresyon, temel bileşen, kümeleme ve diskriminant analizleri uygulanmıştır. Kümeleme analizi, veri grubunun 4 ana kümeye ayrılabileceğini göstermiştir. Belirlenen kümelere ve çeşitli kombinasyonlarına uygulanan standart aşamalı regresyon analizleri ile akma bağımlı değişkenini tahmin etmek üzere geliştirilen modellerde regresyon katsayısı % 73,9'a kadar ulaşmıştır. AbstractIn this study, flow value of the bituminous hot mixtures that can be determined by Marshall Test has been aimed to be predicted by regression models based on material and mixture properties. In this context, data on bituminous hot mix applications for the manufacturing of wearing and binder layers within the borders of Ankara Metropolitan Municipality have been compiled and a data group containing 4680 observations has been created on the application basis. Regression, principal component, clustering and discriminant analyses have been applied on the data group. The clustering analysis shows that the data group can be divided into 4 main clusters. With the stepwise regression analyses carried out on the determined clusters and their various combinations, the regression coefficient of models, which are developed to predict the flow variable, has reached to 73.9 %.

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The changes in the mechanical properties of neat and SBS-modified HMA pavements due to traffic loads and environmental effects over a one-year period

Cited by 19 publications

References 17 publications

Prediction of Mechanical Alterations in Multi-Layer Sbs-Modified Hot Mix Asphalt and Soil-Foundation Structure

Prediction of Mechanical Alterations in Multi-Layer Sbs-Modified Hot Mix Asphalt and Soil-Foundation Structure

Performance Degradation of Large-Sized Asphalt Mixture Specimen under Heavy Load and Its Affecting Factors Using Multifunctional Pavement Material Tester

Bi̇tümlü Sicak Karişimlara Ai̇t Akma Değeri̇ni̇n Regresyon Modelleri̇ İle Tahmi̇ni̇

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