scholarly journals Evaluation of the potential of sasobit polymer as an additive in bitumen and asphaltic concrete

2020 ◽  
Vol 22 (1) ◽  
pp. 177-181
Author(s):  
H. Mohammed ◽  
S.A. Adefesobi

This paper evaluated the effects of sasobit polymer (Sasobit®) on the characteristics of asphaltic concrete with a view to investigating its suitability as an additive in asphaltic concrete. Sasobit®, bitumen and aggregates were procured from a Construction Company site office, along Shagamu-Ibadan expressway. Sasobit® modified bitumen was prepared by adding Sasobit® to bitumen with increasing weight of Sasobit® at 1.0, 1.5, 2.0, 2.5 and 3 % by the weight of the bitumen. Penetration and softening point tests were carried out on the samples and the mix-ratio for the bitumen – polymer mixture was determined. Asphaltic concrete samples with and without Sasobit® were prepared. The samples were subjected to Marshall Stability test. The stability, flow, specific density, voids filled with bitumen (VFB), air voids (VA) and voids in the mineral aggregate (VMA) weredetermined. The values of stability, flow, specific density, voids filled with bitumen, air voids and voids filled in the mineral aggregates for sample without Sasobit® were 13.63 kN 2.91 mm, 2.51, 64.64 %, 4.29 % and 18.19 %, respectively, while for those with Sasobit® at mix – ratio of 1.7 % bitumen – polymer mixture, the values were 14.67 kN, 2.41 mm, 2.55, 73.30 %, 3.96 % and 16.39 % respectively. The result showed that, Sasobit® as additive in asphaltic concrete improved its properties. Keywords: Sasobit®, Asphaltic Concrete, Stability, Flow, Voids filled with bitumen, Air voids, Voids in mineral aggregate

2015 ◽  
Vol 42 (11) ◽  
pp. 865-871 ◽  
Author(s):  
Babak Kazemi Darabadi ◽  
Hasan Taherkhani

Flaky particles, because of their shape, are considered as inferior aggregates in asphaltic mixtures, and specifications usually set limits on the amount of flaky particles in asphaltic mixtures. In this study, the effects of flaky particles content on the volumetric properties, Marshall Stability and creep behaviour of hot mixed asphaltic concrete have been investigated. Specimens with two different types of gradation and specified amounts of flaky particles were made and used for Marshall Stability and static creep tests. Test results show that the Marshall Stability decreases and the air voids content of asphaltic mixture and the voids in mineral aggregate increase as the flaky particles content increases. It is also found that flaky particles cause increase in permanent deformation and decrease in creep stiffness. The creep tests also show that the recoverable deformation of the mixtures decreases as the flaky particles content increases.


Author(s):  
H. Mohammed

The effect of coal bottom ash (CBA) on the characteristics of asphaltic concrete was investigated with a view to assess its suitability as a partial replacement of fine aggregate. Coal procured from Lafia-Obi coal mines was burnt in a fixed bed combustor until a sand size residual was produced. The properties of the materials used for the study were characterize using standard procedures. The CBA was introduced in the asphalt mix at an increasing rate of 10, 15, 20 and 25% content by weight of the fine aggregate and test samples of asphaltic concrete were prepared. The samples were subjected to Marshall stability test. Results showed that the specific gravity and absorption test for granite dust were 2.45 and 0.25%, respectively, while those of the CBA were 2.86 and 0.58% respectively. The result of stability, flow, bulk density, voids filled in bitumen (VFB), air voids (VA) and voids in mineral aggregate (VMA) of the asphaltic concrete at 0% CBA were 12.02 kN, 3.04 mm, 2.491g/cm3, 66.0%, 4.3%, 12.7% respectively; while the values at 20% CBA content were 16.97 kN, 3.51mm, 2.514g/ cm3 , 71.2%, 3.4%, 11.9% respectively. The result showed that coal bottom ash in asphaltic mix improved its properties.


Author(s):  
Kaval Chhabra ◽  
Divesh Agrawal ◽  
Saladi S. V. Subbarao

This study investigates the effects of mixing Polypropylene waste plastics in the bituminous mix for the design of Flexible Pavement. Since, obtaining Marshall Test results from the bituminous mix is time-consuming, so if the practitioners measure the values of stability and flow by mechanical testing, other computations can be done by applying simple mathematical calculations. So, this study carried out stability and flow tests on different specimens made with varying bitumen and polypropylene plastic content. From the initial test results, the optimum bitumen and plastic contents are found. Further, the test results obtained from Marshall Test are modelled by identifying various input variables, which are various physical properties of the mix such as plastic content, bitumen content, air voids and unit weight. The regression modeling framework is adopted in this study to predict the Marshall stability and flow value. Since the developed models have yielded good results, these can be effectively used in parameter estimation, and thus aids the future researchers.


Proceedings ◽  
2020 ◽  
Vol 69 (1) ◽  
pp. 36
Author(s):  
Muhammad Kashif Anwar ◽  
Syyed Adnan Raheel Shah ◽  
Muhammad Ahmed Qurashi ◽  
Muhammad Hasnain Saeed ◽  
Aqsa Nisar ◽  
...  

The increasing costs of virgin content, decreasing resources, and growing plastic waste have shifted the research momentum towards green and sustainable road pavements. Hence, in recent years, various researchers have worked on the utilization of different types of plastic wastes in asphalt concrete by replacing it with binder content. Under this premise, this study examines the effect of expanded polystyrene beads (EPS) as a replacement to the binder at seven different dosages ranging from 5% to 50%. The bitumen of 60/70 grade was utilized in this study. The fresh properties of polymer-modified bitumen were checked and compared to that of conventional specimens. The mechanical properties of all specimens were investigated in terms of Marshall Stability properties. The results indicated that the adding of PEB improves the stability of modified asphalt concrete. Furthermore, the addition of EPS by substituting bitumen content could be a promising way to reduce the environmental impact of bitumen, and will also help in economic infrastructure development.


2021 ◽  
Vol 39 (4) ◽  
pp. 1043-1049
Author(s):  
A.A. Murana ◽  
A.A. Abdulkarim ◽  
A.T. Olowosulu

This work evaluate the influence of waste pure water sachet (WPS) as a modifier in Hot Mix Asphalt (HMA). The properties of the constituent materials were determined. Modified HMA samples were prepared at varying concentration of 2, 4, 6, 8 and 10% WPS content by weight of the Optimum Binder Content (OBC). The properties of the modified HMA were determined using Marshall Method of mix design. The properties of the constituent materials showed that they are suitable for HMA production. The modified bitumen showed an increase in softening point (61 – 73.5%), flash point (258 – 2820C), fire point (289 – 3110C) and ductility (92.67 –118.67cm) as the WPS content increases from 2% to 10% while decrease in penetration (62.33 – 56.5mm) as WPS content increases from 2% to 6%. Stability and Bulk density increases from 4.64kN to 8.84kN and 2.21g/cm3 to 2.34g/cm3 respectively while flow, voids in mineral aggregates (VMA) and Air voids decreases from 3.6 to 2.98mm, 23.85 to 20.16% and 19.73 to 13.97% respectively as the WPS content was increased from 2 to 8%. An optimum polyethylene from WPS modifier content of 8% by weight of the OBC is  recommended for use in the HMA. Keywords: Bitumen, Hot Mix Asphalt, Pure Water Sachet, modified bitumen, Marshall Properties, Polyethylene.


Coatings ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Nicola Baldo ◽  
Matteo Miani ◽  
Fabio Rondinella ◽  
Jan Valentin ◽  
Pavla Vackcová ◽  
...  

This paper presents a study about a Machine Learning approach for modeling the stiffness of different high-modulus asphalt concretes (HMAC) prepared in the laboratory with harder paving grades or polymer-modified bitumen which were designed with or without reclaimed asphalt (RA) content. Notably, the mixtures considered in this study are not part of purposeful experimentation in support of modeling, but practical solutions developed in actual mix design processes. Since Machine Learning models require a careful definition of the network hyperparameters, a Bayesian optimization process was used to identify the neural topology, as well as the transfer function, optimal for the type of modeling needed. By employing different performance metrics, it was possible to compare the optimal models obtained by diversifying the type of inputs. Using variables related to the mix composition, namely bitumen content, air voids, maximum and average bulk density, along with a categorical variable that distinguishes the bitumen type and RAP percentages, successful predictions of the Stiffness have been obtained, with a determination coefficient (R2) value equal to 0.9909. Nevertheless, the use of additional input, namely the Marshall stability or quotient, allows the Stiffness prediction to be further improved, with R2 values equal to 0.9938 or 0.9922, respectively. However, the cost and time involved in the Marshall test may not justify such a slight prediction improvement.


2020 ◽  
pp. 1644-1663
Author(s):  
Kaval Chhabra ◽  
Divesh Agrawal ◽  
Saladi S. V. Subbarao

This study investigates the effects of mixing Polypropylene waste plastics in the bituminous mix for the design of Flexible Pavement. Since, obtaining Marshall Test results from the bituminous mix is time-consuming, so if the practitioners measure the values of stability and flow by mechanical testing, other computations can be done by applying simple mathematical calculations. So, this study carried out stability and flow tests on different specimens made with varying bitumen and polypropylene plastic content. From the initial test results, the optimum bitumen and plastic contents are found. Further, the test results obtained from Marshall Test are modelled by identifying various input variables, which are various physical properties of the mix such as plastic content, bitumen content, air voids and unit weight. The regression modeling framework is adopted in this study to predict the Marshall stability and flow value. Since the developed models have yielded good results, these can be effectively used in parameter estimation, and thus aids the future researchers.


2014 ◽  
Vol 71 (3) ◽  
Author(s):  
Nurulain Che Mat ◽  
Ramadhansyah Putra Jaya ◽  
Norhidayah Abdul Hassan ◽  
Hasanan Md Nor ◽  
Md. Maniruzzaman A. Aziz ◽  
...  

With increasing interest in the use of hot mix asphalt in the paving industry, more studies in this field for improvement of hot mix asphalt properties seem to be necessary. Hence, the main objective of this study was to investigate the effect of sasobit® content as modified binder in hot mix asphalt. 60/70 penetration grade asphalt was separately modified with sasobit® at different concentrations ranging from 0% to 4.5%. The influence of sasobit® on the hot mix asphalt mixtures properties were detected through conventional tests i.e. penetration and softening point. In addition, the Marshall stability, abrasion loss, and resilient modulus were also examined. Results indicated that the hot mix asphalt containing Sasobit® additive has significant affect in terms of penetration and softening point. Furthermore, the addition of Sasobit® seemed to improve the stability, abrasion loss and modulus of stiffness.


2021 ◽  
Vol 18 (1) ◽  
pp. 9-13
Author(s):  
B.T. Ola ◽  
H. Mohammed

This study investigated the combined effects of polyethylene terephthalate (PET) and crumb rubber (CR) as modifiers on some properties of asphaltic concrete. Asphaltic concrete materials were obtained from a construction site. CR of 9.5 mm size was obtained by sieving, while PET bottles were collected, sorted, washed, dried and shredded by mechanical means. The physical properties of these materials were determined following standard procedure. Bitumen was modified by wet process with PET and characterised. Asphaltic concrete samples with partial replacement of coarse aggregate in the mix with CR were prepared. Samples without modifiers were also prepared as control. These were subjected to Marshall Stability test. The percentage variation for stability and flow between the control and the modified mixes, were 27 % and 0.29 % respectively, while those of the volumetric properties of bulk density, voids filled bitumen (VFB), air voids (VA) and voids in mineral aggregate (VMA) were 0 %, - 0.13 %, 0 % and 0 % respectively. It was concluded that, there was no  difference between the flow and volumetric properties of the control and modified mixes. Keywords:  Polyethylene terephthalate, crumb rubber, asphaltic concrete, stability, flow, volumetric parameters


2020 ◽  
Vol 12 (7) ◽  
pp. 2767 ◽  
Author(s):  
Víctor Yepes ◽  
José V. Martí ◽  
José García

The optimization of the cost and CO 2 emissions in earth-retaining walls is of relevance, since these structures are often used in civil engineering. The optimization of costs is essential for the competitiveness of the construction company, and the optimization of emissions is relevant in the environmental impact of construction. To address the optimization, black hole metaheuristics were used, along with a discretization mechanism based on min–max normalization. The stability of the algorithm was evaluated with respect to the solutions obtained; the steel and concrete values obtained in both optimizations were analyzed. Additionally, the geometric variables of the structure were compared. Finally, the results obtained were compared with another algorithm that solved the problem. The results show that there is a trade-off between the use of steel and concrete. The solutions that minimize CO 2 emissions prefer the use of concrete instead of those that optimize the cost. On the other hand, when comparing the geometric variables, it is seen that most remain similar in both optimizations except for the distance between buttresses. When comparing with another algorithm, the results show a good performance in optimization using the black hole algorithm.


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