Probabilistic analysis of tunnel convergence on spatially variable soil: The importance of distribution type of soil properties

Accurate prediction of tunnel convergence is important to ensure the stability of tunnel structures. Reliability analysis of tunnel convergence on spatially variable soils was performed based on Monte Carlo simulations. The Young's modulus of soils was shown to be spatially varied. The influence of the coefficient of variation, the vertical scale of fluctuation and the distribution type (i.e. beta distribution, gamma distribution and lognormal distribution) of soils on the tunnel convergence were systematically discussed. From measuring the mean and standard deviation of tunnel convergence, and the probability of exceeding some thresholds, it was found that the distribution type significantly influenced the results. The results were accompanied by a detailed analysis of the mechanisms of tunnel convergence in spatially random soils.

Automated summary

Accurate prediction of tunnel convergence is crucial for ensuring the stability of tunnel structures. This study conducted reliability analysis based on Monte Carlo simulations, showing that the Young's modulus of soils varies spatially and discussing the influence of various factors on tunnel convergence. The results highlighted the significant impact of distribution type on the outcomes, providing a detailed analysis of tunnel convergence mechanisms in spatially random soils.