الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Local scour is classified as one of the main causes of bridges failure especially for bridges crossing the waterways and rivers. Scour occurs at intermediate supports and bridge abutment is exposing its foundations may lead to failure if it is not designed. So that, more interest shall be paid to evaluate scour values and to maintain the existing bridges to avoid bridges collapse.
The main objective of this study is to predict local scour and its rate using numerical models, the model used in the study is called SSIIM (Sediment Simulation In Intakes with Multi-block option), this models have been used by others to predict local scour in the clear water range. In the current research it is used in prediction of local scour in clear water and live bed scours, in addition, rate of scour predicted by the model is compared with the experimental results.
In order to achieve the main objective of the current research local scour around different pile shapes is calibrated, validated and verified for different flow conditions and pile sizes. In this step three models for circular pile have been calibrated and validated, then the models are verified for fifteen experiments in order to check the sensitivity if the calibrated models to predict scour for different pile shape and different flow conditions. All results were represented in curves. These curves showed good agreement between the predicted values by SSIIM and the experimental results. Moreover, the final scour values were in a good agreement with the values calculated by the most famous scour equation.
Parametric study using two piles with different shapes, size, spacing and alignment with the flow is proposed in this research, only three different case of flow were proposed for this study. The total number of runs used in parametric study is 370 run. It was concluded that the values of scour at smaller alignment angles the scour are lesser due to the effect of flow sheltering, the scour values start to increase by increasing the angle between piles, this were found for square and circular piles. Also it was found that the scour depths are directly affected by the pile sizes. In addition, the relative scour
increases by increasing Froude number. It is also concluded that the maximum scour values are not significantly changed by changing the spacing between piles at constant piles sizes and Froude numbers for small angles.
Artificial Neural Network (ANN) have been constructed in order to use the results form parametric study to predict further cases not exist in the study, the developed network have been trained, validated and tested using the parametric study results found satisfactory in prediction of scour values.Local scour is classified as one of the main causes of bridges failure especially for bridges crossing the waterways and rivers. Scour occurs at intermediate supports and bridge abutment is exposing its foundations may lead to failure if it is not designed. So that, more interest shall be paid to evaluate scour values and to maintain the existing bridges to avoid bridges collapse.
The main objective of this study is to predict local scour and its rate using numerical models, the model used in the study is called SSIIM (Sediment Simulation In Intakes with Multi-block option), this models have been used by others to predict local scour in the clear water range. In the current research it is used in prediction of local scour in clear water and live bed scours, in addition, rate of scour predicted by the model is compared with the experimental results.
In order to achieve the main objective of the current research local scour around different pile shapes is calibrated, validated and verified for different flow conditions and pile sizes. In this step three models for circular pile have been calibrated and validated, then the models are verified for fifteen experiments in order to check the sensitivity if the calibrated models to predict scour for different pile shape and different flow conditions. All results were represented in curves. These curves showed good agreement between the predicted values by SSIIM and the experimental results. Moreover, the final scour values were in a good agreement with the values calculated by the most famous scour equation.
Parametric study using two piles with different shapes, size, spacing and alignment with the flow is proposed in this research, only three different case of flow were proposed for this study. The total number of runs used in parametric study is 370 run. It was concluded that the values of scour at smaller alignment angles the scour are lesser due to the effect of flow sheltering, the scour values start to increase by increasing the angle between piles, this were found for square and circular piles. Also it was found that the scour depths are directly affected by the pile sizes. In addition, the relative scour
increases by increasing Froude number. It is also concluded that the maximum scour values are not significantly changed by changing the spacing between piles at constant piles sizes and Froude numbers for small angles.
Artificial Neural Network (ANN) have been constructed in order to use the results form parametric study to predict further cases not exist in the study, the developed network have been trained, validated and tested using the parametric study results found satisfactory in prediction of scour values.Local scour is classified as one of the main causes of bridges failure especially for bridges crossing the waterways and rivers. Scour occurs at intermediate supports and bridge abutment is exposing its foundations may lead to failure if it is not designed. So that, more interest shall be paid to evaluate scour values and to maintain the existing bridges to avoid bridges collapse.
The main objective of this study is to predict local scour and its rate using numerical models, the model used in the study is called SSIIM (Sediment Simulation In Intakes with Multi-block option), this models have been used by others to predict local scour in the clear water range. In the current research it is used in prediction of local scour in clear water and live bed scours, in addition, rate of scour predicted by the model is compared with the experimental results.
In order to achieve the main objective of the current research local scour around different pile shapes is calibrated, validated and verified for different flow conditions and pile sizes. In this step three models for circular pile have been calibrated and validated, then the models are verified for fifteen experiments in order to check the sensitivity if the calibrated models to predict scour for different pile shape and different flow conditions. All results were represented in curves. These curves showed good agreement between the predicted values by SSIIM and the experimental results. Moreover, the final scour values were in a good agreement with the values calculated by the most famous scour equation.
Parametric study using two piles with different shapes, size, spacing and alignment with the flow is proposed in this research, only three different case of flow were proposed for this study. The total number of runs used in parametric study is 370 run. It was concluded that the values of scour at smaller alignment angles the scour are lesser due to the effect of flow sheltering, the scour values start to increase by increasing the angle between piles, this were found for square and circular piles. Also it was found that the scour depths are directly affected by the pile sizes. In addition, the relative scour
increases by increasing Froude number. It is also concluded that the maximum scour values are not significantly changed by changing the spacing between piles at constant piles sizes and Froude numbers for small angles.
Artificial Neural Network (ANN) have been constructed in order to use the results form parametric study to predict further cases not exist in the study, the developed network have been trained, validated and tested using the parametric study results found satisfactory in prediction of scour values.Local scour is classified as one of the main causes of bridges failure especially for bridges crossing the waterways and rivers. Scour occurs at intermediate supports and bridge abutment is exposing its foundations may lead to failure if it is not designed. So that, more interest shall be paid to evaluate scour values and to maintain the existing bridges to avoid bridges collapse.
The main objective of this study is to predict local scour and its rate using numerical models, the model used in the study is called SSIIM (Sediment Simulation In Intakes with Multi-block option), this models have been used by others to predict local scour in the clear water range. In the current research it is used in prediction of local scour in clear water and live bed scours, in addition, rate of scour predicted by the model is compared with the experimental results.
In order to achieve the main objective of the current research local scour around different pile shapes is calibrated, validated and verified for different flow conditions and pile sizes. In this step three models for circular pile have been calibrated and validated, then the models are verified for fifteen experiments in order to check the sensitivity if the calibrated models to predict scour for different pile shape and different flow conditions. All results were represented in curves. These curves showed good agreement between the predicted values by SSIIM and the experimental results. Moreover, the final scour values were in a good agreement with the values calculated by the most famous scour equation.
Parametric study using two piles with different shapes, size, spacing and alignment with the flow is proposed in this research, only three different case of flow were proposed for this study. The total number of runs used in parametric study is 370 run. It was concluded that the values of scour at smaller alignment angles the scour are lesser due to the effect of flow sheltering, the scour values start to increase by increasing the angle between piles, this were found for square and circular piles. Also it was found that the scour depths are directly affected by the pile sizes. In addition, the relative scour
increases by increasing Froude number. It is also concluded that the maximum scour values are not significantly changed by changing the spacing between piles at constant piles sizes and Froude numbers for small angles.
Artificial Neural Network (ANN) have been constructed in order to use the results form parametric study to predict further cases not exist in the study, the developed network have been trained, validated and tested using the parametric study results found satisfactory in prediction of scour values.Local scour is classified as one of the main causes of bridges failure especially for bridges crossing the waterways and rivers. Scour occurs at intermediate supports and bridge abutment is exposing its foundations may lead to failure if it is not designed. So that, more interest shall be paid to evaluate scour values and to maintain the existing bridges to avoid bridges collapse.
The main objective of this study is to predict local scour and its rate using numerical models, the model used in the study is called SSIIM (Sediment Simulation In Intakes with Multi-block option), this models have been used by others to predict local scour in the clear water range. In the current research it is used in prediction of local scour in clear water and live bed scours, in addition, rate of scour predicted by the model is compared with the experimental results.
In order to achieve the main objective of the current research local scour around different pile shapes is calibrated, validated and verified for different flow conditions and pile sizes. In this step three models for circular pile have been calibrated and validated, then the models are verified for fifteen experiments in order to check the sensitivity if the calibrated models to predict scour for different pile shape and different flow conditions. All results were represented in curves. These curves showed good agreement between the predicted values by SSIIM and the experimental results. Moreover, the final scour values were in a good agreement with the values calculated by the most famous scour equation.
Parametric study using two piles with different shapes, size, spacing and alignment with the flow is proposed in this research, only three different case of flow were proposed for this study. The total number of runs used in parametric study is 370 run. It was concluded that the values of scour at smaller alignment angles the scour are lesser due to the effect of flow sheltering, the scour values start to increase by increasing the angle between piles, this were found for square and circular piles. Also it was found that the scour depths are directly affected by the pile sizes. In addition, the relative scour
increases by increasing Froude number. It is also concluded that the maximum scour values are not significantly changed by changing the spacing between piles at constant piles sizes and Froude numbers for small angles.
Artificial Neural Network (ANN) have been constructed in order to use the results form parametric study to predict further cases not exist in the study, the developed network have been trained, validated and tested using the parametric study results found satisfactory in prediction of scour values.Local scour is classified as one of the main causes of bridges failure especially for bridges crossing the waterways and rivers. Scour occurs at intermediate supports and bridge abutment is exposing its foundations may lead to failure if it is not designed. So that, more interest shall be paid to evaluate scour values and to maintain the existing bridges to avoid bridges collapse.
The main objective of this study is to predict local scour and its rate using numerical models, the model used in the study is called SSIIM (Sediment Simulation In Intakes with Multi-block option), this models have been used by others to predict local scour in the clear water range. In the current research it is used in prediction of local scour in clear water and live bed scours, in addition, rate of scour predicted by the model is compared with the experimental results.
In order to achieve the main objective of the current research local scour around different pile shapes is calibrated, validated and verified for different flow conditions and pile sizes. In this step three models for circular pile have been calibrated and validated, then the models are verified for fifteen experiments in order to check the sensitivity if the calibrated models to predict scour for different pile shape and different flow conditions. All results were represented in curves. These curves showed good agreement between the predicted values by SSIIM and the experimental results. Moreover, the final scour values were in a good agreement with the values calculated by the most famous scour equation.
Parametric study using two piles with different shapes, size, spacing and alignment with the flow is proposed in this research, only three different case of flow were proposed for this study. The total number of runs used in parametric study is 370 run. It was concluded that the values of scour at smaller alignment angles the scour are lesser due to the effect of flow sheltering, the scour values start to increase by increasing the angle between piles, this were found for square and circular piles. Also it was found that the scour depths are directly affected by the pile sizes. In addition, the relative scour
increases by increasing Froude number. It is also concluded that the maximum scour values are not significantly changed by changing the spacing between piles at constant piles sizes and Froude numbers for small angles.
Artificial Neural Network (ANN) have been constructed in order to use the results form parametric study to predict further cases not exist in the study, the developed network have been trained, validated and tested using the parametric study results found satisfactory in prediction of scour values.Local scour is classified as one of the main causes of bridges failure especially for bridges crossing the waterways and rivers. Scour occurs at intermediate supports and bridge abutment is exposing its foundations may lead to failure if it is not designed. So that, more interest shall be paid to evaluate scour values and to maintain the existing bridges to avoid bridges collapse.
The main objective of this study is to predict local scour and its rate using numerical models, the model used in the study is called SSIIM (Sediment Simulation In Intakes with Multi-block option), this models have been used by others to predict local scour in the clear water range. In the current research it is used in prediction of local scour in clear water and live bed scours, in addition, rate of scour predicted by the model is compared with the experimental results.
In order to achieve the main objective of the current research local scour around different pile shapes is calibrated, validated and verified for different flow conditions and pile sizes. In this step three models for circular pile have been calibrated and validated, then the models are verified for fifteen experiments in order to check the sensitivity if the calibrated models to predict scour for different pile shape and different flow conditions. All results were represented in curves. These curves showed good agreement between the predicted values by SSIIM and the experimental results. Moreover, the final scour values were in a good agreement with the values calculated by the most famous scour equation.
Parametric study using two piles with different shapes, size, spacing and alignment with the flow is proposed in this research, only three different case of flow were proposed for this study. The total number of runs used in parametric study is 370 run. It was concluded that the values of scour at smaller alignment angles the scour are lesser due to the effect of flow sheltering, the scour values start to increase by increasing the angle between piles, this were found for square and circular piles. Also it was found that the scour depths are directly affected by the pile sizes. In addition, the relative scour
increases by increasing Froude number. It is also concluded that the maximum scour values are not significantly changed by changing the spacing between piles at constant piles sizes and Froude numbers for small angles.
Artificial Neural Network (ANN) have been constructed in order to use the results form parametric study to predict further cases not exist in the study, the developed network have been trained, validated and tested using the parametric study results found satisfactory in prediction of scour values.