• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
Browsing by Author 
  •   Qatar University Digital Hub
  • Browsing by Author
  • Qatar University Digital Hub
  • Browsing by Author
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browsing by Author "Sadeq, Mohammed"

    • 0-9
    • A
    • B
    • C
    • D
    • E
    • F
    • G
    • H
    • I
    • J
    • K
    • L
    • M
    • N
    • O
    • P
    • Q
    • R
    • S
    • T
    • U
    • V
    • W
    • X
    • Y
    • Z

    Sort by:

    Order:

    Results:

    Now showing items 1-4 of 4

    • title
    • publication date
    • submit date
    • ascending
    • descending
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
      • Thumbnail

        An Approach for Adjusting the Laboratory-Determined Dynamic Modulus Master Curve of Asphalt Layers Based on Falling Weight Deflectometer Measurements 

        Alfarra, Mohammed; Sirin, Okan; Sadeq, Mohammed; Masad, Eyad ( Hindawi , 2023 , Article)
        Structural assessment is critical for designing asphalt pavement overlays, estimating the remaining life of pavements, and selecting an appropriate rehabilitation strategy for existing pavements. The falling weight ...
      • Thumbnail

        Characterisation of air voids in w-fam samples using x-ray ct imaging 

        Sadeq, Mohammed; Masad, Eyad A.; Al-Khalid, Hussain; Sirin, Okan ( CRC Press/Balkema , 2018 , Conference)
        This study documents the use of high-resolution X-Ray Computed Tomography to characterise air void distribution in Fine Aggregate Mixtures (FAM) prepared using Warm Mix Asphalt (WMA) additives (W-FAM). Specimens were imaged ...
      • Thumbnail

        Evaluation and calibration of dynamic modulus prediction models of asphalt mixtures for hot climates: Qatar as a case study 

        Ahmad, Al-Tawalbeh; Sirin, Okan; Sadeq, Mohammed; Sebaaly, Haissam; Masad, Eyad ( Elsevier , 2022 , Article)
        The dynamic modulus (|E*|) of asphalt mixtures is one of the most important inputs in Mechanistic-Empirical (ME) pavement analysis and design. Several models have been developed to predict the dynamic modulus based on ...
      • A framework for the analysis of damage and recovery characteristics of asphalt mixtures 

        Sadeq, Mohammed; Huang, Chien Wei; Masad, Eyad; Al-Khalid, Hussain; Sirin, Okan ( Taylor & Francis , 2020 , Article)
        This study presents two approaches for evaluating damage and recovery characteristics of asphalt mixtures. The first approach focuses on determining damage by extracting recoverable viscoelastic strain that has no damage ...

        Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

        Contact Us | Send Feedback
        Contact Us | Send Feedback | QU

         

         

        Home

        Submit your QU affiliated work

        Browse

        All of Digital Hub
          Communities & Collections Publication Date Author Title Subject Type Language Publisher

        My Account

        Login

        Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

        Contact Us | Send Feedback
        Contact Us | Send Feedback | QU