Condition Assessment of Fire-Affected RC Slab Via GPR Signal Reflections Analysis and Visual Inspection Method

  • Authors

    • S. F.Senin
    • Nor Azilawati Abu Talaha
    • R. Hamid
    2019-01-30
    https://doi.org/10.14419/ijet.v8i1.2.24874
  • Crack, delamination, ground penetrating radar, post-fire, visual inspection

  • This study aims to assess the condition of a fire-damaged building for recommendation of repair works. The Institute of Medical Research (IMR) building, in Kuala Lumpur, Malaysia was damaged by fire in April 2011.Visual inspection (VI) is the normal assessment method, but for more accurate results, Ground Penetrating Radar (GPR) signal reflections analysis is employed. The defects analyzed are cracks and delamination of the affected area which was the reinforced concrete (RC) slab at level 3, location where the fire had started. The results obtained using GPR and visual inspection were compared. The area where cracks were detected visually was confirmed by results from the GPR signal reflections analysis but visually, only 28% of the slab area showed delamination defect. When checked with GPR, the area of delamination was actually 56 % of the slab area. Cracks and delamination damage mapping was prepared in order to help facilitate repair works. This result shows that Ground Penetrating Radar (GPR) signal reflections analysis had detected delamination in RC slab where normal visual inspection failed to detect.

     

     

     

  • References

    1. [1] Ramli AB, Prinsip dan Praktis Pengurusan Penyelanggaraan Bangunan, Penerbit Pustaka Ilmi, Kuala Lumpur (2002).

      [2] Hamid R, KAM Nayan, KM Yusof, WMW Mohd (2009), Penentuan tahap kakisan tetulang keluli menggunakan keadah pengecilan amplitude. Jurnal Kejuruteraan 21, 63-72.

      [3] Senin SF & Hamid R (2015), Effect of moisture and chloride content on the direct and reflected ground penetrating radar waves amplitude ratio in concrete slab. Jurnal Teknologi 74, 1-5.

      [4] Jabatan Kerja Raya, Laporan Forensik.: Bahagian Forensik Jabatan Kerja Raya. Kuala Lumpur (2014).

      [5] Awoyera PO, II Akinwumi, AN Ede & MO Olofinnade (2014), Forensic investigation of fire-affected reinforced concrete buildings. IOSR Journal of Mechanical and Civil Engineering 11, 17-23.

      [6] Feiyu L & Zhaohui H (2018), Modelling cracks of reinforced concrete slabs under fire conditions. Journal of Structural Engineering, (5), 144.

      [7] Joakim A, Mathias F, Jan EL & Robert J (2011), Assessment of concrete structures after fire, SP Report 2011:19, Technical Research Institute of Sweden, Brandforsk Project Number: 301-091.

      [8] Muhamad Y, Kajian keatas kegagalan struktur. Master Thesis, Civil Engineering Faculty, Universiti Teknologi. Malaysia (2005).

      [9] Concrete Society Report, Non-structure crack in concrete. Concrete Society Technical Report, London (1992).

      [10] ISO 834-10: Fire resistance tests- element of building construction- Part 10: Specific requirements to determine the contribution of applied fire protection materials to structural steel elements (2014).

      [11] Gabriel AK (2008), Fire and Concrete, BE 2008- Econtro Nacional Betao Estrutural. Guimarães, 21-34.

      [12] Perez-Gracia VP, Garcia G & IR Abad (2008), GPR evaluation of the damage found in the reinforced concrete base of a block of flats: A case study. NDT& E International. 41, 341-353.

      [13] Ghani AHA, Senin AF & Hamid R (2013), Attenuation of ground penetrating radar signal amplitude in monitoring reinforced steel corrosion, Jurnal Teknologi 65, 73-78.

      [14] Parrillo R, Roberts R & A Haggan, Bridge deck condition assessment using ground penetrating radar, ECNDT 2006 Proceeding Tu.4.2.5 (2006).

      [15] Jabatan Kerja Raya, Handbook for Building Conditions Inspection, Penerbit Cawangan Pakar dan Kejuruteraan Awam, Kuala Lumpur (2006).

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  • How to Cite

    F.Senin, S., Azilawati Abu Talaha, N., & Hamid, R. (2019). Condition Assessment of Fire-Affected RC Slab Via GPR Signal Reflections Analysis and Visual Inspection Method. International Journal of Engineering & Technology, 8(1.2), 66-71. https://doi.org/10.14419/ijet.v8i1.2.24874