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<p>Slab-on-ground (SOG) serves as a fundamental structural element in contemporary buildings and infrastructure. In recent years, the adoption of fiber-reinforced concrete (FRC) for SOG has gained significant traction due to its enhanced mechanical performance and durability. The design methodologies for (SOG) primarily rely on the flexural slab capacity (FSC) to determine the required slab thickness. This process involves calculating the modulus of rupture (MOR) of the concrete beam, following the guidelines established by AASHTO T 97 or ASTM C78 standards. All prior experimental findings have demonstrated that the MOR is significantly lower than the FSC, indicating that it cannot be relied upon to accurately predict the FSC. Consequently, employing the MOR to predict FSC would result in an underestimation of the FSC, necessitating excessive thickness. Therefore, this study aims to develop a more accurate predictive equation for FSC by using MOR and key influencing parameters of SOG, ensuring a more efficient and optimized slab thickness design. The predictive equation is derived using statistical procedures based on an extensive dataset of over 100 SOG cases from previous literature. The findings indicate that the FSC is highly influenced by the MOR, subgrade reaction modulus (k), fiber volume content (V<sub>f</sub>), concrete compressive strength (f<sub>c</sub>'), and SOG width (W<sub>SOG</sub>). In addition, the proposed equation is evaluated in comparison with the most widely utilized (MOR) equations. The study demonstrates that the proposed equation yields the highest accuracy in predictions, exhibiting a coefficient of variation of 40%, in contrast to 88% for the Eurocode equation and 84% for the ACI equation.</p>

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Prediction of flexural capacity of fiber reinforced concrete slab on ground

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月30日

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  • Abdullah Albogami,
  • Nakin Suksawang,
  • Ahmed Alsabbagh,
  • Emad Alshammari

摘要

Slab-on-ground (SOG) serves as a fundamental structural element in contemporary buildings and infrastructure. In recent years, the adoption of fiber-reinforced concrete (FRC) for SOG has gained significant traction due to its enhanced mechanical performance and durability. The design methodologies for (SOG) primarily rely on the flexural slab capacity (FSC) to determine the required slab thickness. This process involves calculating the modulus of rupture (MOR) of the concrete beam, following the guidelines established by AASHTO T 97 or ASTM C78 standards. All prior experimental findings have demonstrated that the MOR is significantly lower than the FSC, indicating that it cannot be relied upon to accurately predict the FSC. Consequently, employing the MOR to predict FSC would result in an underestimation of the FSC, necessitating excessive thickness. Therefore, this study aims to develop a more accurate predictive equation for FSC by using MOR and key influencing parameters of SOG, ensuring a more efficient and optimized slab thickness design. The predictive equation is derived using statistical procedures based on an extensive dataset of over 100 SOG cases from previous literature. The findings indicate that the FSC is highly influenced by the MOR, subgrade reaction modulus (k), fiber volume content (Vf), concrete compressive strength (fc'), and SOG width (WSOG). In addition, the proposed equation is evaluated in comparison with the most widely utilized (MOR) equations. The study demonstrates that the proposed equation yields the highest accuracy in predictions, exhibiting a coefficient of variation of 40%, in contrast to 88% for the Eurocode equation and 84% for the ACI equation.