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Evaluating the Microstructure of Photoluminescent Concrete Pavement Containing Strontium-Aluminate, Acrylic and Recycled Waste Glass

  • Ahmed Seyab Maqsud
  • , Shohel Amin
  • , Rahat Iqbal

    Research output: Contribution to journal › Article › peer-review

    179 Downloads (Pure)

    Abstract

    This paper constructs the photoluminescent concrete pavement (PhotoCP) mixing the photoluminescent material (Strontium-Aluminate) with recycled waste glass and transparent acrylic to visible the neighbourhood streets without streetlights. The non-destructive analyses of photoluminescent materials were conducted using the X-Ray Fluorescence, X-Ray diffraction, and Scanning Electron Microscopy instruments to understand the behaviour of atoms in photoluminescent materials when they interact with radiation. The compressive strength test examined the load bearing capacity of PhotoCP. A 30cm x 230cm test bed was constructed at a neighbourhood street in Peshawar, Pakistan to assess the impact of photoluminescent materials on lighting the neighbourhood street. The non-destructive analyses and compressive strength test show that PCP specimens have good interlocking capability, structural strength and durability. The testbed experiment observed the illuminance of PhotoCP for a period of 6 to 8 hours with highest lumen intensity of 1-3 lux from sunset to 8:30 pm.
    Original languageEnglish
    Article number012020
    Number of pages14
    JournalIOP Conference Series: Materials Science and Engineering
    Volume1196
    DOIs
    Publication statusPublished - Oct 2021
    EventInternational Conference on Resource Sustainability - Dublin, Ireland
    Duration: 19 Jul 2021 → 23 Jul 2021
    http://icrs2021dublin.ucd.ie/

    Bibliographical note

    Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

    Keywords

    • Strontium Aluminate
    • RWG
    • XRF
    • XRD
    • SEM image
    • compressive strength

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