• An analytic network process condition assessment model for sewer pipelines 

      Hawari, A.; Alkadour, F.; Zayed, T. ( Civil-Comp Press , 2015 , Conference Paper)
      As sewer pipelines age, the need for their upgrading, maintaining, and repairing arises. Simultaneously, inadequate sewer pipelines might lead to catastrophic failures. Thus, decision makers must have a detailed knowledge ...
    • Predicting the performance of multi-media filters using artificial neural networks 

      Hawari, Alaa H.; Alnahhal, Wael ( IWA Publishing , 2016 , Article)
      The impact of flow rate and turbidity on the performance of multi-media filtration has been studied using an artificial neural network (ANN) based model. The ANN model was developed and tested based on experimental data ...
    • Simulation-Based Condition Assessment Model for Sewer Pipelines 

      Hawari, Alaa; Alkadour, Firas; Elmasry, Mohamed; Zayed, Tarek ( American Society of Civil Engineers (ASCE) , 2017 , Article)
      Condition assessment models are considered as an evaluation tool that can be used by decision makers to accurately evaluate and assess the condition of pipes. Condition assessment of pipes helps in reaching better decisions ...