Case Study on the Effect of Recycled Asphalt Layer Parameters on the Bearing Capacity of the Pavement

Abstract

Numerous ways to use recycled asphalt (RA) in the road base course will provide both environmental and economic benefits, allowing to recycle and utilise this initially waste material in road or pavement reconstruction projects. However, the properties and parameters of RA necessary for the application of reclaimed asphalt pavement (RAP) in a new pavement structure in most cases are not detectable in the design stage, which complicates design and construction process. The purpose of this paper is to study possibilities for evaluating the performance and parameters of RA, as well as to review the possibilities, methods and applications for RA testing. Data for this case study were obtained from recently completed road structures in the form of FWD measurements, together with lab explored parameters of drilled pavement cores. Based on that data, the relationships between the main pavement structural parameters, such as modulus on the surface of the pavement, compressive strength of RA core segment, thickness of bound layers and back calculated modulus were examined. On the way to exploring different analytical approaches, two approximation models were developed and compared, using the obtained data: by directly approximating the obtained data and after processing them with artificial neural network (ANN).

A Systematic Review of Machine Learning Techniques and Applications in Soil Improvement Using Green Materials

“…However, it is also possible to conclude that the appropriate pavement design technique even permits incorrect evaluation and analysis of design factors and the design process itself, which can result in uncertain, uncertain design explanations. That is supported by the weak relationships between the constructed and expected structural data [23].…”

“…In particular, it has great potential for improving soil improvement using green materials, which is a critical area of research for sustainable and environmentally friendly construction practices. Machine learning is one of the trending topics that was used in several geotechnical applications such as prediction of retaining wall deflection [15], excavation [16,17], soil behavior [2], Earth retaining structures [18], bearing capacity [19][20][21][22][23][24], settlement of structures [8,18,20,[24][25][26][27][28], liquefaction assessment [29], slope stability and landslide [30,31], and soil characterization [2,3,7,[32][33][34][35][36][37]. That helps geotechnical engineers to control and predict the soil properties and behavior under various loading conditions.…”

Study of the mechanical properties and constitutive model of the roadbed rehabilitation polyurethane grouting materials under uniaxial compression

“…The more obvious the viscous mechanical behavior of the material, the more easily its mechanical properties are affected by the loading rate 74 ; therefore, the loading rate has greater influences on the mechanical properties of RHPU grouting materials with a lower density. In practical application, according to the monitoring results of soil deformation, the real strain rate of the RHPU grouting materials can be converted, and the mechanical properties can be evaluated based on the results of here 53 . The influence of loading rate on the mechanical properties of RHPU grouting materials is much smaller than that of density.…”

“…A uniaxial compression test was conducted using a WAW‐300 Type electro‐hydraulic servo universal testing machine (as shown in Figure 3a). The strain loading rate of 10 −5 /s was applied on the RHPU samples to simulate the static loading because in most cases, the subgrades in practice bear the static load 53 . For RHPU samples with the side length of 70.7 mm and density of 0.2, 0.3, 0.4, and 0.5 g/cm 3 , the mechanical properties under the other three different loading rates, that is, 10 −4 /s, 10 −3 /s, and 10 −2 /s, were also studied to investigate the influences of loading rate.…”

The Effects of Mineral Wool Fly Ash on Cohesive Soil Strength Behaviour

“…There is a possibility to apply such methods for soil stabilisation, which allow to reduce the costs of soil stabilisation and solve ecological problems. Some methods, like stabilisation using recycled asphalt (Zarins, 2020), lime (Firoozi et al, 2017) or slag (Mahedi et al, 2018), have become traditional and are often used. Other methods, like stabilisation using glass waste (Baldovino et al, 2021), shredded tire (Behnood, 2018), volcanic ash (Ghadir & Ranjbar, 2018), fly ash (Jalal et al, 2020;Riekstins et al, 2020), or ferric chloride solution as electronic industry waste for hardening of polymer resins by soil grouting (Mackevičius et al, 2019) are still being tested, and their applicability is relatively narrow.…”