Improved damping reduction factor models for different response spectra
Improved damping reduction factor models for different response spectra
复制标题
改进不同响应谱的阻尼折减系数模型
DOI：
10.1016/j.engstruct.2021.113012
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发表时间：
2021-11
影响因子：
5.5
通讯作者：
Su Binjian
中科院分区：
文献类型：
--
作者：
Liu Tao;Wang Wenze;Wang Huakun;Su Binjian
阻尼折减系数的合理性和可靠性对建筑结构的抗震设计具有重要意义。然而，现有模型预测的阻尼折减系数值存在较大的离散性，这主要与回归模型和考虑的影响因素有关。通过对一个单自由度体系在4716点地震动作用下的线性时程分析，研究了阻尼比、自振周期、地震动卓越周期与自振周期之比、地震震级、破裂距离、场地类型等因素对结构地震反应的影响程度采用斯皮尔曼秩相关系数分析了土层上部30 m处剪切波平均速度、显著持续时间和峰值速度加速度比（PGV/PGA）对阻尼衰减系数的影响。在此基础上，针对不同的反应谱，分别提出了仅考虑阻尼比和自振周期的改进阻尼折减系数模型。通过与现有阻尼折减系数模型的比较以及不同地震动下的鲁棒性检验，证明了改进的阻尼折减系数模型具有合理的表达形式和较强的鲁棒性，能够准确预测不同反应谱下的阻尼折减系数。
The rationality and reliability of the damping reduction factor are of great significance to the seismic design of building structures. However, the values of damping reduction factor predicted by the existing models have great dispersions, which are mainly related to the regression model and the considered influencing factors. Based on the linear time history analysis of a single-degree-of-freedom system under 4716 ground motions, the influence degrees of the damping ratio, the natural vibration period, the ratio between the ground predominant period and the natural vibration period, the earthquake magnitude, the rupture distance, the site type (the average shear wave velocity in the top 30 m of soil), the significant duration, and the peak ground velocity to acceleration ratio (PGV/PGA) on the damping reduction factor are evaluated by the Spearman rank correlation coefficient. After that, improved damping reduction factor models are respectively proposed for different response spectra, in which only the damping ratio and the natural vibration period are considered as variables. Through the comparison with the existing damping reduction factor models and the robustness test under different natural ground motions, the improved damping reduction factor models are proved to have a reasonable expression form and strong robustness, which can accurately predict the damping reduction factors for different response spectra.
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