Symmetric Performance Analysis for Mechanical Properties of Sustainable Asphalt Materials under Varying Temperature Conditions: An Application of DT and NDT Digital Techniques

Abstract

During the development of symmetric asphalt concrete material samples, aggregates play a vital role in the performance of its production. Shape characteristics and aggregates geology are two major factors influencing strength parameters of the asphalt concrete mix. In this study, two different geological sources of aggregates with different shape characterizations have been utilized for the development of the asphalt concrete mix. In addition to that, the stability analysis has been performed under different temperature conditions ranging between 25 and 60 • C. By the application of the destructive technique (DT) and non-destructive technique (NDT), the performance of the asphalt concrete mix has been analyzed and compared based on the geology of aggregates under various temperatures. Furthermore, a statistical model has been developed to analyze the stability and performance of the developed asphalt concrete mix with reference to regional climatic conditions. This study will help in the development of symmetric formation of sustainable asphalt materials.Symmetry 2020, 12, 433 2 of 12 bound and unbound condition come from part of or the whole engineering or building structure [4]. The mechanical performance of an aggregate in asphalt pavement has been studied in previous research and presented an approach to find out its response of an unbound coarse aggregate [5]. Damages to highways mostly takes place on surface roads, one of the main reasons is the weakness of a bond between the bitumen binding and the aggregates. Thus, a bond should be enhanced and to improve the antistripping properties of asphaltic concrete. Stripping is the phenomenon of surface tension between the aggregates and binder. The failure of the asphalt pavement due to several distress such as rutting on the variation of rut depth due to traffic load have been studied using statistical analysis [6]. The several types of distress including creep, rutting, shoving, cracking, and low stability are resulting in stripping due to the ingredient's compatibility. When the ingredients are used in correct proportions, they provide the best-expected service quality [7,8]. The performance of asphalt concrete by using the design method and rehabilitation timing and the result revealed that the road surface was greatly influenced due to traffic load and environmental conditions [9]. The temperature effect is also a key factor that has a direct influence on the viscosity of bitumen, which affects its ability to bond and provide adequate bonding for aggregates in Hot Mix Asphalt (HMA) paving mixes. Therefore, the performance of the asphalt mixture under the effect of increasing and decreasing temperatures is needed to be studied. Low stability in the asphalt mixture leads to various types of distress [10,11]. The maximum load resisting by the specimen before failure is the stability strength of that specimen. An arrangement of the Marshall test [12] is like an indirect tensile strength test [13], but the sample placed in the Marshall test head is within a certa...

Performance Optimization Approach of Polymer Modified Asphalt Mixtures with PET and PE Wastes: A Safety Study for Utilizing Eco-Friendly Circular Economy-Based SDGs Concepts

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Prediction of Marshall Stability and Marshall Flow of Asphalt Pavements Using Supervised Machine Learning Algorithms

“…Numerous researchers have been working on developing numerical or mathematical relationships for the mechanical behavior of bituminous mixes that can quickly produce reliable and accurate predicted results for bituminous mixes. Advanced machine learning (ML) methods allow in-depth and rational analysis of material responses [11][12][13][14][15][16][17][18][19][20]. ML techniques have gained significant popularity in research due to their high reliability and prediction capabilities despite the fact that they are not based on physical testing procedures and they are being utilized in modeling and forecasting the complex behaviors of several pavement engineering materials [21][22][23][24][25][26].…”