Browsing by Author "Malyuta, Daniel A."
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Item Analysis of Factors Affecting Pavement Markings and Pavement Marking Retroreflectivity in Tennessee Highways(University of Tennessee at Chattanooga, 2015) Malyuta, Daniel A.Pavement markings are lines drawn on a pavement surface to provide vital information to road users pertaining to lane restrictions and vehicle movements, which if adhered to, results in improved safety and smooth travelling to road users. Pavement markings’ visibility is quantified into a parameter called retroreflectivity, which is a measure of how well the markings can be seen by road users. The importance of the factors affecting pavement markings differs from one publication to another, which cause the effective management of pavement markings a difficult process. In addressing this concern, this thesis investigated factors affecting pavement markings and marking retroreflectivity in Tennessee highways using retroreflectivity data collected on asphalt highways. Quantifiable factors affecting pavement markings retroreflectivity are analyzed, and linear degradation models are developed using regression analysis. The analysis shows that age and traffic have significant impacts on pavement marking retroreflectivity degradation.Item Review of Different Construction and Building Materials used before 21st Century in Africa Compared to the Present Situation after 21st Century(2013) Khalafalla, Mohamed; Malyuta, Daniel A.; Wu, WeidongBuilding materials are any materials which used for a construction purpose. Many of these materials are naturally occurring substances, such as clay, sand, wood and rocks. Also twigs and leaves have been used to construct buildings especially in many African developing countries up to date. Apart from naturally occurring materials, many manmade products are in use, some more and some less synthetic. The goal of this project is to investigate and to make the review of different materials used in building and construction of different civil engineering infrastructures before 21st Century, specifically in Africa continent. To review their general properties and effectiveness, to compare the previous and present situations on these materials, and to give out the overview of the expected building and construction materials which have to be considered in the future time.Item Verification of Pavement Marking Degradation Models Using Eastern Tennessee Pavement Marking Retroreflectivity Data(IEEE, 2014) Onyango, Mbakisya A.; Malyuta, Daniel A.; Owino, Joseph; Chimba, DeoPavement markings are lines/markings drawn on pavement surface to provide vital information to road users pertaining to lane restrictions and vehicle movements, which if adhered to, results into improved road users' safety. For the pavement markings to be useful they ought to be reflective. Pavement markings retroreflectivity is a measurement of how well the markings can be seen by road users, especially at night. Pavement marking retroreflectivity is measured in milli-candela per square meter per lux (mcd/m2/lux). Candela is a measurement of light intensity and lux is measurement of luminous light per square meter. The USA Federal Highway Administration (FHWA) in the Manual on Uniform Traffic Control Devices (MUTCD) recommends minimum retroreflectivity levels on different types of pavements. Pavement markings retroreflectivity degrade as a function of time, environmental condition and number traffic repetition after its application. There have been several studies that were conducted to establish trends and time it takes for pavement markings to stay above the threshold. Some of the studies published degradation models. This paper seeks to verify the published pavement marking degradation models using pavement retroreflectivity data collected from East Tennessee. The models selected for verification are published by Lee et. al., Aboud and Bowman , Sarasua et. al., and Sitzabee at. al. From these models, the model by Abboud and Bowman for white paint pavement markings had the highest R2; other models have published R2 values that are larger than what was obtained from this study. The model by Lee et..al.,