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Reliability of strength of long fixed-head pile embedded in (p-y) soft clay subiected to cyclic loading

机译:嵌入(P-Y)软粘土的长固定头桩强度的可靠性,循环加载

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This paper deals with reliability of strength of fixed-head long pile embedded in (p-y) soft clay subjected to cyclic loading of quasi static type. The (p-y) soft clay model developed by Matlock (1970) is the one dimensional model with respect to space variable x. The pile-(p-y) soft clay system is subjected to lateral load of deterministic type that changes in a discrete fashion. The strength of the system investigated is defined by maximum bending moment M_(Lmax) localized at the pile's head. The physical properties of the pile-^s(p-y) soil system carry some uncertainties that are considered as random parameters. The uncertainties of physical properties are described by the coefficients of variations COV(...). The determination of second order probabilistic uncertainties of strength Var(M_(Lmax)) of the pile-soil system is conducted in the scope of First Order Second Moment (FOSM) method. The maximum resistance moment M_(Rmax) associated with the investigated system is also regarded as a random property. It is characterized by a lump value of COV(M_(Rmax)). The knowledge of M_(Lmax) and M_(Rmax) forms basis for formulation of state function g(M). The determination of variance Var(g(M)) with aid of Var(M_(Lmax)) and Var(M_(Rmax)) enables one to establish the reliability index β_M of strength of the system. Thus, combining information of β_M and standard deviation σ(g(M)) together with knowledge of the type of the probability density function (normal) of g(M), the probability of failure P_F(g(M)) of the investigated system is determined. Then, the effect of uncertainties of each physical properties on the probability of failure of the system is assessed.
机译:本文涉及嵌入(P-Y)软粘土的固定头长桩强度的可靠性,经受准静态循环载荷。 Matlock(1970)开发的(P-Y)软粘土模型是相对于空间变量X的一维模型。桩(P-Y)软粘土系统经受横向载荷的确定性类型,以离散方式变化。调查的系统的强度由桩头部定位的最大弯矩M_(Lmax)定义。桩(P-Y)土壤系统的物理性质携带一些不确定性,被认为是随机参数。物理性质的不确定性由CoV(...)的变异系数描述。在第一阶第二矩(FOSM)方法的范围内进行桩土体系的强度Var(M_(Lmax))的二阶概率不确定性的测定。与调查系统相关联的最大电阻时刻M_(RMAX)也被视为随机属性。它的特征在于COV的块(M_(Rmax))。 M_(Lmax)和M_(RMAX)的知识形成了状态函数G(M)的制定的基础。借助于var(M_(Lmax))和var(M_(rmax))确定方差var(g(m))使得能够建立系统的强度的可靠性指标β_m。因此,将β_m和标准偏差σ(g(m))的信息与G(m)的概率密度函数(正常)的类型的知识组合在一起,研究的失败概率p_f(g(m))的研究系统确定。然后,评估每个物理性质对系统故障概率的不确定性的影响。

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