基于EMD方法量化識別近斷層脈沖型地震動
發(fā)布時間:2018-06-29 12:20
本文選題:近斷層脈沖型地震動 + EMD方法; 參考:《哈爾濱工業(yè)大學(xué)》2015年碩士論文
【摘要】:受向前方向性效應(yīng)或滑沖效應(yīng)的影響,在近斷層附近會產(chǎn)生脈沖型地震動。相較普通遠(yuǎn)場地震動,脈沖型地震動已經(jīng)被證明會對工程結(jié)構(gòu)造成更為嚴(yán)重的破壞。大量的學(xué)者就脈沖型地震動的特性及其對工程結(jié)構(gòu)的影響展開了深入的研究,關(guān)于脈沖型地震動的量化識別更是近年來的熱點研究課題。目前大多數(shù)的脈沖識別方法都只能在速度時程上提取單脈沖,較難實現(xiàn)對多脈沖地震動的量化識別;贓MD(Empirical Mode Decomposition)方法,本文對脈沖型地震動的量化識別進(jìn)行了詳細(xì)研究,主要研究內(nèi)容和結(jié)論如下:⑴分別采用窗口傅里葉變換、小波變換、Hilbert-Huang變換對地震動記錄的速度時程進(jìn)行時頻分析,得到對應(yīng)的時間-頻率圖。結(jié)果表明:Hilbert-Huang變換較前兩種方法在刻畫地震動信號的局部特性方面具有較大優(yōu)勢。⑵由于地震動的復(fù)雜性,在采用基于EMD方法識別脈沖型地震動之前,需要對地震動數(shù)據(jù)進(jìn)行分類,為了理解使用EMD方法識別脈沖的過程,分別對單脈沖型和多脈沖型地震動進(jìn)行識別。結(jié)果表明:EMD方法不僅能夠識別出單脈沖地震動,還能夠較好地識別出多脈沖型地震動。⑶分別利用小波分析法、能量法以及EMD方法,對91條已知脈沖型地震動和本文所選336條地震動進(jìn)行識別,并對得到的結(jié)果進(jìn)行了對比分析,判斷EMD法識別脈沖地震動的優(yōu)劣性。結(jié)果表明,對于前4階IMF(Intrinsic Mode Function)能量比之和小于0.3的地震動,EMD方法的識別效果更好;對于前4階IMF能量比之和大于0.3的地震動,前兩種方法的識別效果較好;對于所選的大多數(shù)地震動,EMD法在識別多脈沖地震動上展現(xiàn)出優(yōu)越性,而前兩種方法更適合識別單脈沖型地震動。
[Abstract]:Under the influence of forward directional effect or slip effect, pulsed ground motion will occur near the fault. Compared with ordinary far field ground motion, pulsed ground motion has been proved to cause more serious damage to engineering structure. A large number of scholars have carried out in-depth research on the characteristics of pulsed ground motion and its influence on engineering structure, and the quantification recognition of pulsed ground motion has become a hot research topic in recent years. At present, most pulse recognition methods can only extract single pulse in velocity time history, so it is difficult to realize quantification recognition of multi-pulse ground motion. Based on the empirical Mode decomposition (EMD) method, the quantization recognition of pulsed ground motion is studied in detail in this paper. The main contents and conclusions are as follows: 1. Wavelet transform Hilbert-Huang transform is used to analyze the velocity time history of ground motion record, and the corresponding time-frequency map is obtained. The results show that the ratio Hilbert-Huang transform has a great advantage over the former two methods in describing the local characteristics of the ground motion signal. 2. Because of the complexity of the ground motion, the method based on EMD is used to identify the pulsed ground motion. It is necessary to classify the ground motion data. In order to understand the process of using the EMD method to identify the pulses, the single and multi-pulse ground motions are identified respectively. The results show that the weight EMD method can not only recognize the single pulse ground motion, but also better identify the multi-pulse ground motion .3 using wavelet analysis, energy method and EMD method, respectively. 91 known impulse ground motions and 336 ground motions selected in this paper are identified, and the results obtained are compared and analyzed to judge the merits and demerits of the EMD method in the identification of impulse ground motions. The results show that the EMD method is better for the ground motion with the sum of the first four order IMF energy ratio less than 0.3, and the first two methods for the ground motion with the sum of the first four order IMF energy ratio greater than 0.3. For most of the selected ground motions, the EMD method is superior in the identification of multi-pulse ground motions, while the former two methods are more suitable for the identification of monopulse ground motions.
【學(xué)位授予單位】:哈爾濱工業(yè)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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