Using MEPDG to Develop Rational Pay Factor for Hot Mix Asphalt Construction

Faculty Engineering Year: 2013
Type of Publication: ZU Hosted Pages: PP 30-37
Authors:
Mohammed Ibrahim Alsharkawy Attia
Journal: IOSR Journal of Mechanical and Civil Engineering IOSR Volume: Volume 10
Keywords : Using MEPDG , Develop Rational , Factor , , , Asphalt    
Abstract:
Most highway agencies are using subjective measures to rate the quality of construction projects. The main purposes of rating the contractor performance are for qualification, bidding, or payment schedules. The pay factor (PF) can be define
    
     
 
       

Author Related Publications

  • Mohammed Ibrahim Alsharkawy Attia , "Impact of Aggregate Gradation and Type on Hot Mix Asphalt Rutting In Egypt", Journal of Engineering Research and Applications, 2013 More
  • Mohammed Ibrahim Alsharkawy Attia , "Strain Response of Reclaimed Asphalt Pavement Material Blends under Extended Loading Testing Read More: http://ascelibrary.org/doi/abs/10.1061/(ASCE)MT.1943-5533.0000743", American society of civil engineering, 2013 More
  • Mohammed Ibrahim Alsharkawy Attia , "The Effects of Moisture Content on Performance of Recycled Asphalt Pavement as a Flexible Pavement Base Layer", American V-King Scientific Publishing, 2013 More
  • Mohammed Ibrahim Alsharkawy Attia , "Performance of steel slag aggregate in asphalt mixtures in a hot desert climate", ELSVIER, 2021 More

Department Related Publications

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  • Ahmed Hussien Ibrahim Mahmmoud, "Analysis of factors affecting construction and demolition waste safe disposal in Egypt", elsavier, 2023 More
  • Metwaly Goda Mohamed Eltaher, "Optimum Shear Strenth for Rutting Resistance of Paving Mixes", 5 th International Alexandria Conference for Structural and Geotechnical Engineering, Alexandria., 2003 More
  • Mohammed Samer Mohamed Yamany, "Leveraging Convolutional Neural Networks for Efficient Classification of Heavy Construction Equipment", Springer Nature, 2024 More
  • Mohammed Samer Mohamed Yamany, "Enhancing Local Road Pavement Condition Prediction Using Bayesian-Optimized Ensemble Machine Learning and Adaptive Synthetic Sampling Technique", Taylor & Francis, 2024 More
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