Abstract
Concrete, a naturally resilient material, often undergoes a series of physio-chemical degradations once exposed to extreme environments (e.g., elevated temperatures). Under such conditions, not only concrete weakens, but also becomes vulnerable to fire-induced spalling; a complex and exceptionally random phenomenon. Despite serious efforts carried out over the past few years, we continue to be short of developing a methodical procedure that enables accurate assessment of concrete under elevated temperatures with due consideration to fire-induced spalling. Unlike traditional works, this study aims at investigating fire behavior of concrete through a modern perspective. In this study, a number of intelligent pattern recognition (IPR) techniques that capitalize on artificial intelligence (AI) are applied to derive expressions able of accurately trace the response of normal and high strength as well as high performance concretes under elevated temperatures. These expressions take into account geometric, material, and specific features of structural components to examine fire response as well as to predict occurrence of fire-induced spalling in concrete structures. These expressions were developed through rigorous and data-driven analysis of actual fire tests and were derived to implicitly account for physio-chemical transformations in concrete and as such do not require collection/input of temperature-dependent material properties nor special analysis/simulation. This study also features the development of an IPR-based database and fire assessment software that can be used to examine fire performance of concrete members and be regularly updated as to continually improve the accuracy of the proposed expressions.
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The raw/processed data required to reproduce these findings cannot be shared at this time as the data also forms part of an ongoing study.
Notes
Spalling may also occur at relatively higher temperatures in the range of 700–1200 °C due to decarbonation of calcium carbonate and complete dehydration of concrete [9]. This spalling is referred to as thermo-chemical spalling and often occurs in later stages of fire.
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Appendix
Appendix
This section illustrates two examples with procedure into applying the IPR-derived expressions to evaluate susceptibility of a typical RC column to fire-induced spalling as well as fire resistance of the same column. This column, named M6S150, was tested by Shah and Sharma [25], and achieved a fire resistance of 289 min after undergoing spalling; and has the following features:
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1.
Concrete type, fc = 63 MPa,
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Cross sectional size, b × h = 300 × 300 mm2,
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Concrete cover, c, 40 mm,
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4.
Magnitude of applied loading, P = 1858 kN,
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5.
Concentric loading, ec = 0 mm,
To check for fire-induced spalling in this column:
Using MLR:
Using DL:
Implementing the matrix provided in Table 1, DL reveals Spalling = 1(Spalling occurs)
Using GP:
To verify this:
Fire resistance of this column can be evaluated using the following approaches:
Using MLR:
Using DL:
Implementing the matrix provided in Table 1 and fire assessment tool shown in Fig. 3, the fire resistance of this columns comes to, FR= 244.3 min (within 18% of measured fire resistance)
Using GP:
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Naser, M.Z., Seitllari, A. Concrete under fire: an assessment through intelligent pattern recognition. Engineering with Computers 36, 1915–1928 (2020). https://doi.org/10.1007/s00366-019-00805-1
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DOI: https://doi.org/10.1007/s00366-019-00805-1