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近斷層區(qū)域劃分及近斷層速度脈沖型地震動模擬

發(fā)布時間:2018-07-14 22:18
【摘要】:近斷層(near-fault)地震動是指發(fā)震斷層附近的地震地面運動。這種地震動因其與遠場地震有著不同的特性且對長周期結(jié)構(gòu)有強烈的破壞作用而引起地震工程學(xué)領(lǐng)域的廣泛關(guān)注。論文主要針對近場區(qū)域影響范圍和近斷層速度脈沖型地震動模擬進行研究,從而確定模擬速度脈沖的參數(shù)輸入和人工合成近斷層速度脈沖型地震動方法。根據(jù)以上研究內(nèi)容,論文做了如下工作:(1)查閱文獻總結(jié)近斷層地震研究現(xiàn)狀并搜集了斷層距90kmm內(nèi)的1296條(水平977條,豎向319條)地震記錄,對地震動進行了分析。(2)選取并計算了19個地震潛在破壞勢參數(shù),采用Pearson相關(guān)系數(shù)計算方法計算了潛在破壞勢參數(shù)間的相關(guān)系數(shù)。(3)按斷層類型、場地類別和震級范圍把記錄分成20組(水平11組,豎向9組),確定每一組近斷層區(qū)域劃分參數(shù)組合,通過分段函數(shù)擬合得到每一組地震的臨界斷層距,進而確定了不同斷層類型、場地類別及震級下近斷層區(qū)域范圍。(4)基于小波分析識別出了速度脈沖型地震,并提取了速度脈沖型地震中的脈沖成分,統(tǒng)計了脈沖的分布特性,經(jīng)統(tǒng)計回歸得到脈沖周期Tp、脈沖峰值速度PGV和脈沖峰值對應(yīng)時刻t的經(jīng)驗公式。(5)分析了基于小波分析方法計算的脈沖周期Tp與基于速度反應(yīng)譜法計算的脈沖周期Tsv之比Tp/Tsv的變化范圍和影響因素。(6)通過對脈沖成分與非脈沖成分的功率譜對比分析得到高、低頻分界頻率fr的計算方法,并確定了fr與脈沖周期Tp的定量關(guān)系。(7)對Tian脈沖模型進行改進,以速度脈沖型地震參數(shù)統(tǒng)計結(jié)果為參數(shù)輸入生成低頻脈沖成分,與經(jīng)反應(yīng)譜擬合得到的高頻成分疊加生成近斷層速度脈沖型地震動。
[Abstract]:Near-fault (near-fault) ground motion refers to the ground motion near the seismogenic fault. This kind of ground motion has attracted wide attention in the field of seismic engineering because it has different characteristics from far-field earthquakes and has a strong destructive effect on long-period structures. In this paper, the influence range of near-field region and the simulation of near-fault velocity pulse type ground motion are studied, so as to determine the parameter input of simulation velocity pulse and the synthetic method of near-fault velocity pulse type ground motion. According to the above research contents, this paper has done the following work: (1) reviewing the literature to summarize the present situation of recent fault seismic research and collecting 1296 seismic records of fault distance from 90kmm (horizontal 977, vertical 319). The earthquake motion is analyzed. (2) 19 parameters of potential failure potential are selected and calculated. Pearson correlation coefficient method is used to calculate the correlation coefficient between the parameters of potential failure potential. (3) according to fault type, The site category and magnitude range divide the records into 20 groups (11 horizontal groups, 9 vertical groups), determine the parameter combination of each group near fault area, and obtain the critical fault distance of each group of earthquakes by piecewise function fitting. Furthermore, different fault types, site types and the range of near-fault area under magnitude are determined. (4) based on wavelet analysis, velocity pulse earthquakes are identified, and pulse components in velocity pulse earthquakes are extracted, and the distribution characteristics of pulses are analyzed. The empirical formulas of pulse period T p, pulse peak velocity PGV and pulse peak corresponding time t are obtained by statistical regression. (5) the pulse period T p calculated based on wavelet analysis method and the pulse period calculated based on velocity response spectrum method are analyzed. The ratio of Tsv to Tsv and its influencing factors. (6) by comparing the power spectrum of pulse component with that of non-pulse component, we find that the ratio of Tsv to Tsv is very high. The calculation method of low frequency boundary frequency f _ r and the quantitative relation between f _ r and pulse period T _ p are determined. (7) the Tian pulse model is improved and the low-frequency pulse component is generated by using the statistical results of velocity pulse seismic parameters as parameters. Superposed with the high frequency component obtained by the response spectrum, the near fault velocity pulse ground motion is formed.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:P315.9

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