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Sun L.,Guangzhou Hanhua ArchitectsEngineers Ltd.
Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering | Year: 2012

By introducing the design of retaining structure for deep excavation of Banghua Global Plaza in Guangzhou, some methods for designing retaining structure which consists of piles in row and soil anchors with ajacent foundation pit are analyzed. The finite element program Midas GTS is used to analyze the internal force and deformation of the double-row piles with cables. The calculated results and the monitoring data are compared. The proposed design method can be used for reference by similar projects.


Yang L.-F.,Guangxi University | Yang L.-F.,Agency of Housing and Urban Rural Development | Yang X.,Guangxi University | Yang X.,Guangzhou Hanhua ArchitectsEngineers Ltd. | Yu B.,Guangxi University
Guti Lixue Xuebao/Acta Mechanica Solida Sinica | Year: 2014

Response surface approximation and collocation point selection are two important problems of the response surface method for structural reliability analysis. In this paper, a vector cooperative response surface for structural reliability analysis was constructed by the cooperative basis vectors, while the optimal probabilistic collocation points were selected from large numbers of candidate points according to the full row rank criterion of collocation point matrix. The preconditioned stochastic Krylov subspace was defined using the global stiffness matrix and force vector, and the stochastic nodal displacement vector was expanded subsequently in the subspace to develop vector cooperative response surface hierarchically. The stochastic row vector was constructed by the combination of basic random variables in accord with cooperative basis vectors. The collocation point matrix was constructed by the stochastic row vector with particular collocation points and the optimal probabilistic collocation points were selected according to the full row rank criterion of collocation point matrix. Finally the unknown coefficients of the cooperative response surface were determined by the regression analysis. The results show that the proposed method, comparing with the traditional response surface method and the stochastic response surface method, can reduce the number of probabilistic collocation points significantly but still ensure the high accuracy, global applicability and fast convergence.


Yang L.-F.,Guangxi University | Yang L.-F.,Agency of Housing and Urban Rural Development | Yang X.-F.,Guangxi University | Yang X.-F.,Guangzhou Hanhua ArchitectsEngineers Ltd. | Yu B.,Guangxi University
Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics | Year: 2014

A novel vectorial cooperative response surface method (CRSM) for structural reliability analysis involving correlated non-Gaussian random variables was proposed based on the preconditioned stochastic Krylov subspace and the Nataf transformation in this paper, to extend the applicability of the existing SRSM and CRSM in non-Gaussian random variables. The preconditioned stochastic Krylov subspace was defined using the global stiffness matrix and force vector; the stochastic nodal displacement vector was expanded subsequently in the subspace to develop vectorial cooperative response surface hierarchically. The correlation coefficients of the independent standard normal random variables were determined by applying the Nataf transformation to the correlated non-Gaussian random variables. The collocation points selected from combinations of the roots of polynomial chaos of one-order higher than the order of the response surface were mapped into the non-Gaussian random variable space from the independent standard normal random variable space. Finally, the unknown coefficients of cooperative response surface were determined by solving the system of linear random algebraic equations. Two numerical examples show that the proposed method is of high accuracy, global applicability and fast convergence for structural reliability analysis involving correlated non-Gaussian random variables.

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