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发布时间：2019-03-11

论文类型：会议论文

发表时间：2010-03-08

收录刊物：Scopus、CPCI-S、EI

卷号：7649

关键字：Water cube; national aquatics center; large span space structure; snow loading; temperature loading; neural network

摘要：With the large span, the high redundancy and three-dimensional overall stress in the space structure, there are further applications in the civil engineering programs. However, due to the more members, the scatter force path and the complex diversity force transmission modes, which may lead to the complex stress than the ordinary structures in the space ones. In this paper, firstly, the structural strain responses have been analyzed through the numerical simulation with snow loading in the national aquatics center (water cube). Then, according to the strains monitoring data and the relation feature between the temperature loading and structural temperature strains collected from the strain monitoring system on the effect of the snow loading in the national aquatics center, the temperature loading strains are to be separated from the snow loading strains with the neural network technique, from which the monitoring data are got in numerical statement and analyzed, meantime, with which the above numerical simulation results are to be checked and evaluated. The analysis results shown, in summer, owning to the high alteration amplitude of the temperature difference, the temperature loading is the control loading to the space structure; on the other hand, in winter, due to the temperature difference reducing during the process of snowfall, the control loading in the structure is to be transferred from the temperature loading to the snow loading, the effect of the snow loading to the space structure can not to be ignored.