Abstract

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Title:: Randomness Sensitivity Analysis of Creep Effect for Concrete-filled Steel Tube

Author(s):: ZHAO Jin-gang; ZHAO Ren-da; ZHAN Yu-lin; College of Civil Engineering, Guizhou University

Keywords:: support vector machine; Monte Carlo simulation; adaptive hybrid particle swarm optimization; concrete-filled steel tube; creep effect; sensitivity coefficient

Abstract:: According to the randomness of creep for concretefilled steel tube, the support vector machine (SVM) was used to regression fit the explicit function of creep effect for concretefilled steel tube, and sensitivity coefficients of random variables were calculated. The randomness was analyzed combining Monte Carlo simulation (MCS). The adaptive hybrid particle swarm was used to optimize the parameters of SVM to improve the computational efficiency. Two creep model test specimens of concretefilled steel tube were used for randomness analysis, and the calculated results were compared with the results of MCS to verify the feasibility of the method. Meanwhile, the sensitivity of various influencing factors of the creep effect for concretefilled steel tube was analyzed. The results show that the relative error of the SVMMCS results compared with the MCS results for creep random analysis of concretefilled steel tube axial compression members is little. The creep effects for concretefilled steel tube have the randomness characteristics, and the probability density curves approach to normal distribution.