基于缩尺试验的地铁区间隧道火灾顶板下烟气纵向及竖向温度分布规律

Longitudinal and Vertical Smoke Temperature Distribution Patterns Beneath Tunnel Ceiling in Metro Interval Tunnel Fire Based on Scaled-Down Tests

  • 摘要:
    目的 地铁区间隧道为狭长受限空间,一旦发生火灾,将会对人员生命安全造成极大威胁。对此,有必要开展火灾试验,进而总结顶板下烟气纵向及竖向温度分布规律,得到烟气扩散、沉降特性。
    方法 利用1∶20缩尺寸隧道模型,通过改变火源抬升高度及火灾强度,实测了不同起火条件下的隧道内中心断面烟气温度分布。探讨了顶板下方最高烟气温度、烟气纵向温度衰减,以及竖向温度分布随火源抬升高度及火灾强度改变的变化规律。
    结果及结论  得到的量纲一化顶板下方最高烟气温升公式及烟气温升纵向衰减拟合公式,具有准确性与广泛适用性,可用于地铁区间隧道顶板下方烟气纵向温度分布预测。以热高斯层厚度及最高烟气温度为特征烟层高度及特征温升,将10组试验工况540余个温度数据量纲一化发现,其竖向温度变化符合同一条光滑曲线,同火源水平位置、火灾强度及火源抬升高度无关,表明隧道内竖向烟气温度分布符合自相似规律。该试验数据与其他文献的竖向烟气温度分布具有较好一致性,证明了竖向温度分布的自相似性。量纲一化竖向烟气温度分布拟合公式具有广泛适用性。

     

    Abstract:
    Objective As metro interval tunnels are long and narrow confined spaces, in the event of a fire, human life safety can be extremely severely threatened. Therefore, it is imperative to conduct fire tests to summarize the longitudinal and vertical smoke temperature distribution patterns beneath the tunnel ceiling, and to clarify the characteristics of smoke diffusion and settlement.
    Method With a 1:20 scaled-down tunnel model, the smoke temperature distribution in the tunnel central cross-section under different fire conditions is measured through varying the fire source elevation height and fire intensity. The variation patterns of the maximum smoke temperature beneath the tunnel ceiling, the longitudinal attenuation of smoke temperature, and the vertical temperature distribution with the fire source elevation height and fire intensity are investigated.
    Result & Conclusion  The derived dimensionless formula for the maximum smoke temperature rise beneath the ceiling, and the fitted formula for the longitudinal attenuation of smoke temperature rise are accurate and widely applicable, which can be used to predict the longitudinal smoke temperature distribution beneath the ceiling in metro interval tunnels. Taking the thermal Gaussian layer thickness and the maximum smoke temperature as the characteristic smoke layer height and characteristic temperature rise, a dimensionless analysis of more than 540 temperature data from 10 test cases shows that the vertical smoke temperature variation follows the same smooth curve, independent from the horizontal position of the fire source, fire intensity, and fire source elevation height. This indicates that the vertical smoke temperature distribution in the tunnel follows a self-similarity law. The experimental data are in good agreement with the vertical smoke temperature distributions reported in other literature, confirming the self-similarity of the vertical temperature distribution. The dimensionless fitted formula for the vertical smoke temperature distribution is accurate and widely applicable.

     

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