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Efficient wind fragility analysis of RC high rise building through metamodelling

机译:运用元模型对钢筋混凝土高层建筑进行有效风脆性分析

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摘要

This paper deals with wind fragility and risk analysis of high rise buildings subjected to stochastic wind load. Conventionally, such problems are dealt in full Monte Carlo Simulation framework, which requires extensive computational time. Thus, to make the procedure computationally efficient, application of metamodelling technique in fragility analysis is explored in the present study. Since, accuracy by the conventional Least Squares Method (LSM) based metamodelling is often challenged, an efficient Moving Least Squares Method based adaptive metamodelling technique is proposed for wind fragility analysis. In doing so, artificial time history of wind load is generated by three wind field models: i.e., a simple one based on alongwind component of wind speed; a more detailed one considering coherence and wind directionality effect, and a third one considering nonstationaty effect of mean wind. The results show that the proposed appioach is more accurate than the conventional LSM based metamodelling approach when compared to full simulation approach as reference. At the same time, the proposed approach drastically reduces computational time in comparison to the full simulation appioach. The results by the three wind field models are compared. The importance of non-linear structural analysis in fragility evaluation has teen also demonstrated.
机译:本文涉及风荷载的脆弱性和高层建筑承受随机风荷载的风险分析。通常,此类问题在完整的蒙特卡洛模拟框架中处理,这需要大量的计算时间。因此,为使该程序具有较高的计算效率,本研究探讨了元建模技术在脆性分析中的应用。由于经常挑战基于常规最小二乘法(LSM)的元建模的准确性,因此提出了一种有效的基于移动最小二乘法的自适应元建模技术来进行风脆性分析。这样做时,风荷载的人工时程由三种风场模型生成:即基于风速沿风分量的简单模型;更详细的一个考虑了连贯性和风向效应,第三个考虑了平均风的非平稳效应。结果表明,与作为参考的完整仿真方法相比,该方法比传统的基于LSM的元建模方法更为准确。同时,与完整的仿真方法相比,该方法大大减少了计算时间。比较了三种风场模型的结果。青少年还证明了非线性结构分析在脆性评估中的重要性。

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