Results 11 to 20 of about 540,958 (297)
The conventional method for determining the Marshall Stability (MS) and Marshall Flow (MF) of asphalt pavements entails laborious, time-consuming, and expensive laboratory procedures. In order to develop new and advanced prediction models for MS and MF of asphalt pavements the current study applied three soft computing techniques: Artificial Neural ...
Muhammad Aniq Gul +6 more
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Modeling Stability and Flow of Asphalt Mixes Using Optimum Asphalt content [PDF]
The main aim of this study was to evaluate the asphalt mixture properties for samples that were taken from different sites and plants: Amanat Baghdad, Faluja municipality, and Baghdad Governorate, which almost produced in private plants.
Hasan H. Al-Baidhani, Maan S. Hassan
doaj +1 more source
Evaluation of the Performance of Two Australian Waste-Plastic-Modified Hot Mix Asphalts
The construction of hundreds of kilometres of roads around the world every year results in the consumption of large amounts of raw materials and the depletion of natural resources.
Nuha S. Mashaan +2 more
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Optimization flow model for handling car flows at the marshalling yard [PDF]
Mathematical modeling is widely used in studies of operational planning in railway transport. Mainly heuristic algorithms and simulation modeling is used in short-term planning at marshalling yards. There is an opportunity to improve the quality of planning using strict optimization models.
Alexandrov Alexander +3 more
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The Influence of Curing Methods on Marshall Stability and Flow
AbstractThe Marshall Mix design is one of the most widely used methods for designing and evaluating hot asphalt mixes globally, and the main Marshall Test focuses are stability and flow. Two standard curing methods are normally followed to elevate the temperature of testing samples; these involve immersing the samples in 60°C water or placing the ...
Talal H. Fadhil +2 more
openaire +1 more source
Natural aggregates are being depleted due to the high demand for road and building construction and need to be replaced with alternative materials. This study investigated the potential of using Palm kernel shells (PaKS) as a partial replacement for ...
Trinity Ama Tagbor +11 more
doaj +1 more source
Prediction of Marshall Test Results for Dense Glasphalt Mixtures Using Artificial Neural Networks
Asphalt mixture comprising waste glass as an aggregate is referred to as “glasphalt”. Limited studies have been oriented to investigate the Marshall test results of dense-graded glasphalt mixes considering a wide range of variables.
Yazeed S. Jweihan +3 more
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In this article by adding different percentages of carbon fiber with high strength and doing the necessary Marshall tests, it was observed that the Marshall Resistance and its Flow increased.
M. Zarei +4 more
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This study presents the application of artificial neural networks (ANN) and least square support vector machine (LS-SVM) for prediction of Marshall parameters obtained from Marshall tests for waste polyethylene (PE) modified bituminous mixtures.
Sunil Khuntia +3 more
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Concrete Asphalt Marshall Stability Using Concrete Objective Waste
The road is one of the most important infrastructures. The community needs it because the road functions to connect the source of production. Asphalt is an aggregate binding material in road pavement construction, which plays an important role in ...
Sumargono Sumargono +5 more
doaj +1 more source

