| 基于谱烈度改进算法的研究与应用 |
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| 引用本文： | 李通,,姚新强,,郭迅,曹井泉,刘红艳.基于谱烈度改进算法的研究与应用[J].世界地震工程,2023,39(1):189-199. |
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| 作者姓名： | 李通 姚新强 郭迅 曹井泉 刘红艳 |
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| 作者单位： | 1.防灾科技学院土木工程学院,河北廊坊065201;2.天津市地震局,天津300201 |
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| 摘 要： | 本文基于Housner谱烈度公式中存在的不足和问题提出了一种改进算法，首先将相对速度反应谱积分公式上下限范围扩大为0.1～10.1 s,通过统计分析集集地震、汶川地震和芦山地震反应谱积分值和宏观烈度之间的关系，给出8组分档线性公式来计算改进谱烈度值Is,并采用普通克里金插值法绘制谱烈度分布图。本文提出的改进算法在地震动加速度时程积分与谱烈度之间建立起一组长周期、连续性和精细化的函数关系，经鲁甸地震对比验证，该改进算法得出的谱烈度分布图与宏观烈度图整体变化趋势一致，谱烈度值与宏观烈度吻合率(偏差±1度以内)约为90%,具有一定的科学性和准确性，可为灾后应急救援以及决策部署等提供科学的数据支撑。
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| 关 键 词： | 谱烈度 宏观烈度 克里金插值 改进算法 |
Research and application of improved algorithm based on spectral intensity |
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| LI Tong,' target="_blank" rel="external">,YAO Xinqiang,' target="_blank" rel="external">,GUO Xun,CAO Jingquan,LIU Hongyan.Research and application of improved algorithm based on spectral intensity[J].World Information On Earthquake Engineering,2023,39(1):189-199. |
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| Authors: | LI Tong " target="_blank">' target="_blank" rel="external"> YAO Xinqiang " target="_blank">' target="_blank" rel="external"> GUO Xun CAO Jingquan LIU Hongyan |
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| Institution: | 1. Key Laboratory of Building Damage Mechanism and Defense, Institute of Disaster Prevention, Langfang 065201, China;2. Tianjin Earthquake Agency, Tianjin 300201, China |
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| Abstract: | An improved algorithm is proposed according to the shortcomings and problems in Housner spectral intensity formula. Firstly, the upper and lower limits of the relative velocity response spectrum integral formula are expanded to 0.1 s-10.1 s. Through the statistical analysis of the relationship between the response spectrum integral values of Chi-chi earthquake, Wenchuan earthquake and Lushan earthquake and the macroscopic intensity, the eight-component linear formula is given to calculate the improved spectral intensity IS. Finally, the ordinary Kriging interpolation method is used to draw the spectral intensity distribution map. The improved algorithm proposed in this paper establishes a long-period, continuous and fine functional relationship between the ground motion acceleration time-history integral and the spectral intensity. Through the comparison and verification of the Ludian earthquake, the spectral intensity distribution map obtained by the improved algorithm is consistent with the overall change trend of the macroscopic intensity map, and the coincidence rate between the spectral intensity value and the macro intensity( deviation within ± 1 degree )is about 90%. It is scientific and accurate, and can provide scientific data support for post-disaster emergency rescue and decision deployment. |
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| Keywords: | spectral intensity macroscopic intensity Kriging interpolation improved algorithm |
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