Engineering Commons^™

Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby

Mansoura Engineering Journal

For the last few decades, researchers have been devising a simple and cost-effective method to evaluate pavement distresses to give decision-makers adequate feedbacks about the pavement condition of a certain road. Fortunately, with the evolution and progression of computer vision tools and techniques, good results had been achieved regarding the detection, classification, and quantification of road distress. In this paper, a new efficient process of road distress analysis using deep learning models is introduced. This new process was tested on a collected road dataset to evaluate the efficiency and speed of this low-cost road maintenance system. Promising results were obtained …

Numerical Investigations Of Gfrc Beams Strengthened In Shear With Innovative Techniques, Marwa H. Bondok, Gamal I. Khaleel, Ahmed S. Debaiky, Mohamed H. Makhlouf

Mansoura Engineering Journal

This paper discusses the Finite Element analysis (FE) conducted to predict the behavior of Glass Fiber Reinforced Concrete (GFRC) beams without shear reinforcement (stirrups) and strengthen them with proposed techniques to increase their shear strength. for this study, A total of eighteen (18) (120 * 300 * 2200 mm) specimens were modeled using Ansys™ mechanical. The main variables were the percentage of discrete glass fiber in the concrete (0.0, 0.6, and 1.2%), the type of main reinforcing bars (steel or GFRP), the shear strengthening material (GFRP or steel) links, the strengthening systems (side near-surface mounted (SNSM) bars, externally bonded (EB) …

System Dynamics And Topsis Models For Sustainable Building Materials Selection Considering Life Cycle Assessment, Shimaa Elshoubaky, Emad Elbeltagi, Mohammed Abd Elrahman, Islam Elmasoudi

Mansoura Engineering Journal

Construction industry is the most contributor to the environmental impacts. Achieving sustainability in construction is complicated, but one of the most optimal strategies is selecting sustainable building materials.

The major goal of this study is to present a new idea for choosing sustainable building materials (SBMs) by simulating sustainability parameters' behaviour. This research proposes a System Dynamics (SD) model along with the TOPSIS method based on the dynamic interactions among a number of sustainable criteria to help decision makers in sustainable building materials selection. The sustainable criteria that form system boundary are determined from previous studies and experts′ opinions. The …