Evaluating raveling susceptibility of asphalt by Pull-off tests

Comprehensible artificial intelligence-based models for raveling of porous asphalt

Among a large number of existing artificial intelligence (AI)-based techniques, artificial neural network (ANN) is one of the most widely used techniques, which has been applied to many road engineering problems. They are especially useful as predictive models because they do not require prior knowledge of the input data distribution and have shown high prediction performance. However, despite ...

Evaluating the Effect of Lucobit on Moisture Susceptibility and Mechanical Performance of Bitumen and Asphalt Mixtures

The use of polymer in hot mix asphalt production has remarkably in recent decades. Destruction due to moisture in hot mix asphalt is of basic matters about flexible pavement durability. In recent decades different ways have been used to evaluate moisture Sensitivity of HMA which some of them are simple with low cost and some are complicated with more reliable results. In this research the effec...

Development of an Asphalt Pavement Raveling Detection Algorithm Using Emerging 3D Laser Technology and Macrotexture Analysis

Push-pull tests evaluating in situ aerobic cometabolism of ethylene, propylene, and cis-1,2-dichloroethylene.

In situ aerobic cometabolic transformations of ethylene, propylene, and cis-1,2-dichloroethylene (c-DCE), by microorganisms stimulated on propane, were examined in groundwater contaminated with c-DCE and trichloroethylene (TCE). In situ measurements were performed by conducting field push-pull tests, which consisted of injecting site groundwater amended with a bromide tracer and combinations of...

the washback effect of discretepoint vs. integrative tests on the retention of content in knowledge tests

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