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深入揭示地震动峰值特性影响是推进地震动工程特性研究的有效手段。地震动峰值速度和峰值位移特性对结构弹塑性地震反应的影响规律尚需要探索。本文基于窄带时程叠加方法,人工合成具有相同加速度反应谱但峰值速度和峰值位移不同的4个序列地震动时程。其中第1、2序列地震动峰值速度为0.20 m/s,峰值位移分别为0.20 dm和0.40 dm,而第3、4序列地震动峰值位移为0.30 dm,峰值速度分别为0.15 m/s和0.30 m/s。将地震动峰值加速度分别标定至400 cm/s2和800 cm/s2,并以此作为输入开展建设地震观测系统的6层钢结构弹塑性地震反应分析,使得结构发生不同弹塑性地震反应,对比分析在不同序列地震动作用下层间位移角和延性系数等结构工程需求参数差别,探索峰值位移和峰值速度对结构弹塑性地震反应的影响规律。分析表明,在非线性反应阶段后,结构层间位移角和延性系数的变异系数随着输入地震动峰值的增加而增大,地震动峰值特性对结构层间位移角和延性系数等参数有一定影响,影响幅度随输入地震动增加而增大,且峰值速度较峰值位移的影响更为显著。在进行结构设计地... 相似文献
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Recording-based identification of site liquefaction 总被引:2,自引:0,他引:2
Reconnaissance reports and pertinent research on seismic hazards show that liquefaction is one of the key sources of damage to geotechnical and structural engineering systems. Therefore, identifying site liquefaction conditions plays an important role in seismic hazard mitigation. One of the widely used approaches for detecting liquefaction is based on the time-frequency analysis of ground motion recordings, in which short-time Fourier transform is typically used. It is known that recordings at a site with liquefaction are the result of nonlinear responses of seismic waves propagating in the liquefied layers underneath the site. Moreover, Fourier transform is not effective in characterizing such dynamic features as time-dependent frequency of the recordings rooted in nonlinear responses. Therefore, the aforementioned approach may not be intrinsically effective in detecting liquefaction. An alternative to the Fourier-based approach is presented in this study, which proposes time-frequency analysis of earthquake ground motion recordings with the aid of the Hilbert-Huang transform (HHT), and offers justification for the HHT in addressing the liquefaction features shown in the recordings. The paper then defines the predominant instantaneous frequency (PIF) and introduces the PiF-related motion features to identify liquefaction conditions at a given site. Analysis of 29 recorded data sets at different site conditions shows that the proposed approach is effective in detecting site liquefaction in comparison with other methods. 相似文献
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基于确定性物理模型的全过程地震动模拟是现代地震工程的重要发展方向.然而受限于合理震源模型和计算资源需求,目前模拟的有效频率还多处于低频范围,难以满足工程结构敏感频带(5~10 Hz或更高)需求.本文即借助运动学混合震源模型能激发宽频地震波和谱元法空间高精度及计算收敛快的优势,首先将确定性的凹凸体震源模型与GP14.3随机震源模型结合得到有限断层运动学混合震源模型,进而将上述混合震源模型开发到SPECFEM 3D谱元法开源代码中,实现了基于谱元法和运动学混合震源模型的全过程宽频带地震动模拟.将方法首先应用于一维波速结构模型0~10 Hz地震动模拟,通过与频率波数域(FK)方法结果进行比较,验证了方法的精度;进而应用于2021年5月21日云南漾濞6.4级地震0.1~5 Hz地震动模拟,通过与4个台站的时程记录和相应反应谱的比较,以及与NGA-West2地震动衰减方程在频率0.1~5 Hz的反应谱的比较,检验了方法的适用性;最后给出了漾濞地区的地震动峰值加速度(PGA)和峰值速度(PGV)云图,分析了漾濞地震下近场强地面运动的空间分布特征.结果显示,震中PGA接近400 cm·s-... 相似文献
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Identification of acceleration pulses in near-fault ground motion using the EMD method 总被引:2,自引:0,他引:2
In this paper, response spectral characteristics of one-, two-, and three-lobe sinusoidal acceleration pulses are investigated, and some of their basic properties are derived. Furthermore, the empirical mode decomposition (EMD) method is utilized as an adaptive filter to decompose the near-fault pulse-like ground motions, which were recorded during the September 20, 1999, Chi-Chi earthquake. These ground motions contain distinct velocity pulses, and were decomposed into high-frequency (HF) and low-frequency (LF) components, from which the corresponding HF acceleration pulse (if existing) and LF acceleration pulse could be easily identified and detected. Finally, the identified acceleration pulses are modeled by simplified sinusoidal approximations, whose dynamic behaviors are compared to those of the original acceleration pulses as well as to those of the original HF and LF acceleration components in the context of elastic response spectra. It was demonstrated that it is just the acceleration pulses contained in the near-fault pulse-like ground motion that fundamentally dominate the special impulsive dynamic behaviors of such motion in an engineering sense. The motion thus has a greater potential to cause severe damage than the far-field ground motions, i.e. they impose high base shear demands on engineering structures as well as placing very high deformation demands on long-period structures. 相似文献
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1998年,Huang提出了处理非平稳信号的HHT方法(Hilbert-Huang Transform,简称HILT).该方法包括两个步骤:①任意信号首先经过经验模态分解方法(Empirical Mode Decomposition,简称EMD)被分解为一系列固有模态函数(IntrinsicModeFunction,简称IMF). 相似文献
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