Reliability analysis of pile-founded T-walls using the random variable method and random field method

Reliability analysis of pile-founded T-walls using the random variable method and random field method
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DOI:
10.1016/j.compgeo.2023.105439
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发表时间:
2023-07
影响因子:
5.3
通讯作者:
L. Zhang;Lei Wang
L. Zhang;Lei Wang
中科院分区:
工程技术2区
文献类型:
--
作者:
L. Zhang;Lei Wang

文献摘要

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桩基础墙(例如,T型墙是防洪的重要土木基础设施。防洪堤在洪水灾害面前的稳定性分析是防洪堤设计和维护的关键问题。然而,目前大多数防洪堤的稳定性评估的研究是基于确定性分析。土壤性质的不确定性,这是不可避免的,由于复杂的地质作用和沉积环境,没有得到充分的研究。为了解决土性的不确定性,一个二维桩基础的T型墙系统的几个粘土层的顶部和底部的砂层作为一个例子的可靠性分析。随机变量法和随机场法均用于防洪堤的概率分析。通过参数研究,探讨了土壤性质的变异系数(COV)和波动尺度的影响。结果表明,两种方法的失效概率均随土性COV的增大而增大。对于随机场法,土性波动的垂直尺度比水平尺度的影响更大。在高洪水水位条件下,采用相同的土性COV时,随机变量法的破坏概率一般大于随机场法。该研究可为防洪堤稳定性评价中的风险决策提供参考。
The pile-founded walls (e.g., T-walls) are important civil infrastructure for flood protection. The stability analysis of floodwalls in the face of flooding hazards is a critical problem for the design and maintenance of floodwalls. However, most current studies for the stability assessment of floodwalls are based on deterministic analyses. The uncertainties of soil properties, which cannot be avoidable due to complex geological processes and depositional environment, are not sufficiently studied. To address the uncertainties of soil properties, a two-dimensional pile-founded T-wall system with several clay layers on the top and a sand layer on the bottom is taken as an example for the reliability analysis. Both the random variable method and random field method are adopted for the probabilistic analysis of floodwalls. The effect of the coefficient of variation (COV) and scales of fluctuation of soil properties are investigated by parametric studies. The results show that the probability of failure increases with the COV of soil properties for both methods. For the random field method, the effect of the vertical scale of fluctuation of soil properties is more profound than the horizontal scale of fluctuation. The probability of failure derived from the random variable method is generally larger than that from the random field method at high flood water elevations when the same COV of soil properties is applied. This study can provide useful references for risk-informed decision-making in the stability assessment of floodwalls in the face of flooding hazards.