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Artifical Neural Network Models For The Analysis Of Permeable Pavement Performance., Ata Radfar
Artifical Neural Network Models For The Analysis Of Permeable Pavement Performance., Ata Radfar
Electronic Theses and Dissertations
This dissertation is a numerical modeling study based on the findings of the two installed Permeable Interlocking Concrete Pavements (PICPs) in Louisville, KY and twenty one laboratory models. A new model derived to more accurately predict the captured surface runoff volume by the PICPs using Artificial Neural Networks (ANNs). The proposed model relates rainfall parameters and site characteristics to the runoff volume captured by the permeable pavements. The database used for developing the prediction models is obtained from the collected data of the monitored permeable pavements. The performance of the ANN-based models are analyzed and the results demonstrate that the …