Daba debela (11 Ergebnisse)

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  • Zustand: Neu

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  • Sprache: Englisch

    Verlag: GRIN Verlag, 2019

    3668981442 / 9783668981447

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    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2019 in the subject Engineering - General, Basics, grade: Excellent, , course: Raod and Transport Engineering, language: English, abstract: Marshall Mix design was developed for the hottest pavement surface temperature of the USA, which is 60-degree Celsius. This design mechanism is very dominant in our country. It was directly adopted without any modification. The research aims to develop a prediction model that will be employed to modify the Marshall Mix design method for the Ethiopian climate and incorporate maximum pavement surface temperature. In order to do so, ten years historical air temperature of Ethiopia, taken from the National Metrology Agency which was used to determine the hottest month for onsite measurement of 24 towns. For each town, actual maximum pavement surface temperature was measured from August 2016- February 2018, using Nanosensor/ radiator thermometer. The countries climate was classified into four climatic regions for the purpose of this research. For each region, a representative town is incorporated on the study. Based on site measurement and maximum air temperature with the associated latitude, Multivariate Regression Model was selected. To select the model R-squared value method, an excel analysis of scatter plots and collinearity of the explanatory variables was checked. All the inputs were provided to STATA SE-13 statistical software and model developed. After the model was developed by all the 24 towns' data, it was validated and cross-validated by dividing the data into 5 folds in order to make it applicable for all scenarios. The model was further elaborated in a laboratory case study, for the hottest town of Samara, Afar region capital. Mix design was prepared at 60°C, which is the standard specimen heating temperature and at 75°C, which is the actual maximum pavement surface temperature of Samara town. The mix that was prepared at 60° C, found to fulfill all the criteria's of Marshall Mix design outlined by Asphalt Institute for heavy Traffics. Whereas, at 75°C, it fails to do so. Therefore, mix design should be conducted at the place maximum pavement surface Temperature rather than conducting at the standard 60degree Celsius.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2019

    6200217874 / 9786200217875

    • Softcover

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    Taschenbuch. Zustand: Neu. Prediction of Maximum Pavement Surface Temperature | Model Development for maximum pavement surface prediction using maximum air temperature and latitude: A case of Ethiopia | Debela Daba (u. a.) | Taschenbuch | 188 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200217875 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2019

    6200217874 / 9786200217875

    • Softcover

    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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    EUR 134,92

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    Paperback. Zustand: Brand New. 188 pages. 8.66x5.91x0.43 inches. In Stock.

  • Sprache: Englisch

    Verlag: GRIN Verlag Nov 2019, 2019

    3668981442 / 9783668981447

    • Softcover
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    Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2019 in the subject Engineering - General, Basics, grade: Excellent, , course: Raod and Transport Engineering, language: English, abstract: Marshall Mix design was developed for the hottest pavement surface temperature of the USA, which is 60-degree Celsius. This design mechanism is very dominant in our country. It was directly adopted without any modification. The research aims to develop a prediction model that will be employed to modify the Marshall Mix design method for the Ethiopian climate and incorporate maximum pavement surface temperature. In order to do so, ten years historical air temperature of Ethiopia, taken from the National Metrology Agency which was used to determine the hottest month for onsite measurement of 24 towns. For each town, actual maximum pavement surface temperature was measured from August 2016- February 2018, using Nanosensor/ radiator thermometer. The countries climate was classified into four climatic regions for the purpose of this research. For each region, a representative town is incorporated on the study. Based on site measurement and maximum air temperature with the associated latitude, Multivariate Regression Model was selected. To select the model R-squared value method, an excel analysis of scatter plots and collinearity of the explanatory variables was checked. All the inputs were provided to STATA SE-13 statistical software and model developed. After the model was developed by all the 24 towns' data, it was validated and cross-validated by dividing the data into 5 folds in order to make it applicable for all scenarios. The model was further elaborated in a laboratory case study, for the hottest town of Samara, Afar region capital. Mix design was prepared at 60°C, which is the standard specimen heating temperature and at 75°C, which is the actual maximum pavement surface temperature of Samara town. The mix that was prepared at 60° C, found to fulfill all the criteria's of Marshall Mix design outlined by Asphalt Institute for heavy Traffics. Whereas, at 75°C, it fails to do so. Therefore, mix design should be conducted at the place maximum pavement surface Temperature rather than conducting at the standard 60degree Celsius. 184 pp. Englisch.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing Jul 2019, 2019

    6200217874 / 9786200217875

    • Softcover
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    Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.

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    EUR 71,90

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    Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research is aimed at providing a solution for one of the common problems in Ethiopian roads, poor pavement performance. The cause varies from one stretch to another. Excessive loads, climatic changes, poor drainage, and low-quality pavement materials are some of the causes. In this research, a statistical model was developed, validated and cross-validated in order to incorporate maximum air temperature and latitude effect in the mix design. Accordingly, the most dominant mix design method in the country, Marshall Mix Design was modified and a model to predict the most accurate maximum pavement surface temperature was provided. 188 pp. Englisch.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2019

    6200217874 / 9786200217875

    • Softcover
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    Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Daba DebelaDebela Daba studied Road and Transport Engineering at Addis Ababa Science and Technology University and Civil Engineering at Mekelle University.He is currently working in Oromia Construction Bureau, very passionate about .

  • Sprache: Englisch

    Verlag: GRIN Verlag, GRIN Verlag Nov 2019, 2019

    3668981442 / 9783668981447

    • Softcover
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    Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000

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    Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master's Thesis from the year 2019 in the subject Engineering - General, Basics, grade: Excellent, , course: Raod and Transport Engineering, language: English, abstract: Marshall Mix design was developed for the hottest pavement surface temperature of the USA, which is 60-degree Celsius. This design mechanism is very dominant in our country. It was directly adopted without any modification. The research aims to develop a prediction model that will be employed to modify the Marshall Mix design method for the Ethiopian climate and incorporate maximum pavement surface temperature.In order to do so, ten years historical air temperature of Ethiopia, taken from the National Metrology Agency which was used to determine the hottest month for onsite measurement of 24 towns. For each town, actual maximum pavement surface temperature was measured from August 2016- February 2018, using Nanosensor/ radiator thermometer. The countries climate was classified into four climatic regions for the purpose of this research. For each region, a representative town is incorporated on the study.Based on site measurement and maximum air temperature with the associated latitude, Multivariate Regression Model was selected. To select the model R-squared value method, an excel analysis of scatter plots and collinearity of the explanatory variables was checked. All the inputs were provided to STATA SE-13 statistical software and model developed. After the model was developed by all the 24 towns' data, it was validated and cross-validated by dividing the data into 5 folds in order to make it applicable for all scenarios. The model was further elaborated in a laboratory case study, for the hottest town of Samara, Afar region capital. Mix design was prepared at 60°C, which is the standard specimen heating temperature and at 75°C, which is the actual maximum pavement surfacetemperature of Samara town. The mix that was prepared at 60° C, found to fulfill all the criteria's of Marshall Mix design outlined by Asphalt Institute for heavy Traffics. Whereas, at 75°C, it fails to do so. Therefore, mix design should be conducted at the place maximum pavement surface Temperature rather than conducting at the standard 60degree Celsius.Books on Demand GmbH, Überseering 33, 22297 Hamburg 184 pp. Englisch.

  • Sprache: Englisch

    Verlag: GRIN Verlag, 2019

    3668981442 / 9783668981447

    • Softcover
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    Taschenbuch. Zustand: Neu. Prediction of Maximum Pavement Surface Temperature Using Maximum Air Temperature and Latitude | Model development using maximum air temperature and latitude for Ethiopia | Debela Daba | Taschenbuch | 184 S. | Englisch | 2019 | GRIN Verlag | EAN 9783668981447 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing Jul 2019, 2019

    6200217874 / 9786200217875

    • Softcover
    • Print-on-Demand

    Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000

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    Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research is aimed at providing a solution for one of the common problems in Ethiopian roads, poor pavement performance. The cause varies from one stretch to another. Excessive loads, climatic changes, poor drainage, and low-quality pavement materials are some of the causes. In this research, a statistical model was developed, validated and cross-validated in order to incorporate maximum air temperature and latitude effect in the mix design. Accordingly, the most dominant mix design method in the country, Marshall Mix Design was modified and a model to predict the most accurate maximum pavement surface temperature was provided.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2019

    6200217874 / 9786200217875

    • Softcover
    • Print-on-Demand

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    EUR 102,23

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    Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research is aimed at providing a solution for one of the common problems in Ethiopian roads, poor pavement performance. The cause varies from one stretch to another. Excessive loads, climatic changes, poor drainage, and low-quality pavement materials are some of the causes. In this research, a statistical model was developed, validated and cross-validated in order to incorporate maximum air temperature and latitude effect in the mix design. Accordingly, the most dominant mix design method in the country, Marshall Mix Design was modified and a model to predict the most accurate maximum pavement surface temperature was provided.