深厚土层冻结法凿井过程中外层井壁模糊随机可靠性分析

发布时间：2018-08-26 16:42

【摘要】：针对常规可靠性表征结构稳定性时的不足,分析更加符合深井工况的模糊随机可靠性,给出相应的模糊随机功能函数和模糊随机极限状态方程,并针对可靠性中心点算法进行模糊随机改进。结合深厚冲积层井壁冻结压力和钢筋混凝土井壁极限承载力模糊随机分析,得到深厚冲积层高强钢筋混凝土外层井壁的模糊随机极限状态方程,应用改进后的中心点法推导出外层井壁结构模糊随机可靠性的解析区间,并提出各主要变量对模糊随机可靠性的灵敏度区间模型。工程算例表明:由于综合考虑到各参数的不确定性,获得的模糊随机可靠性相比常规的可靠性总体偏低,其结果更能反映实际工况。此外,模糊随机可靠性首次以区间值表征井筒的可靠程度,较常规可靠性的定值表现方法更具合理性。
[Abstract]:In view of the shortcomings of the conventional reliability in characterizing the stability of the structure, the fuzzy random reliability, which is more suitable for the deep well condition, is analyzed, and the corresponding fuzzy random function and the fuzzy stochastic limit state equation are given. The reliability center point algorithm is improved by fuzzy random method. Based on the fuzzy random analysis of freezing pressure and ultimate bearing capacity of reinforced concrete shaft lining in deep alluvium, the fuzzy stochastic limit state equation of high strength reinforced concrete outer wall in deep alluvium is obtained. The analytic interval of fuzzy random reliability of outer wall structure is derived by using the improved center point method, and the sensitivity interval model of each main variable to fuzzy random reliability is proposed. The engineering example shows that the fuzzy random reliability is lower than the conventional reliability because of the uncertainty of the parameters, and the results can reflect the actual working conditions more effectively. In addition, the interval value of fuzzy random reliability is used to characterize the reliability of wellbore for the first time, which is more reasonable than the conventional method of expressing the fixed value of reliability.
【作者单位】：安徽大学资源与环境工程学院;安徽理工大学土木建筑学院;南通职业大学建筑工程学院;安徽理工大学安全科学与工程博士后科研流动站;
【基金】：国家自然科学基金资助项目(51374010,51474004) 安徽省高校优秀青年人才支持计划重点资助项目(gxyq ZD2016086)
【分类号】：TD265.34

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