A New Method for Calculating Earthquake Characteristics and Nonlinear Spectra Using Wavelet Theory

A. Heidari, J. Raeisi, S. P. Sadegh
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引用次数: 3

Abstract

In the present study applying the wavelet theory (WT) and later the nonlinear spectrum response of the acceleration (NSRA) resulted in estimating a strong earthquake record for the structure to a degree of freedom. WT was applied in order to estimate the acceleration of earthquake mapping with equal sampling method (WTESM). Therefore, at first, the acceleration recorded in an earthquake using WTESM was examined in 5 levels. Subsequently, for calculating the strong ground parameters (SGP) and the NSRA of the structure the filtered wave was applied rather than using the main earthquake record (MER). The wavelet stages result in a more lenient filtered wave and it is better for calculating SGP and NSR because the noise is filtered. The method suggested for a large number of earthquakes was applied and the results are detailed in the case of Kermanshah earthquake. Results reveal that in case of using WTESM, SGP error estimation would be less than 2% and the calculation error for NSRA would be less than 11%.
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用小波理论计算地震特征和非线性谱的新方法
在目前的研究中,应用小波理论(WT)和后来的非线性加速度谱响应(NSRA)来估计结构在一定程度上的强震记录。利用小波变换估计等采样法测图的加速度。因此,首先使用WTESM对地震中记录的加速度进行了5个级别的检验。随后,为了计算结构的强地面参数(SGP)和NSRA,采用滤波波代替主地震记录(MER)。小波阶段产生更宽松的滤波波,并且由于噪声被滤除,因此更适合计算SGP和NSR。本文将该方法应用于大量地震,并以Kermanshah地震为例详细说明了结果。结果表明,使用WTESM时,SGP估计误差小于2%,NSRA计算误差小于11%。
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来源期刊
Journal of Rehabilitation in Civil Engineering
Journal of Rehabilitation in Civil Engineering Engineering-Building and Construction
CiteScore
1.60
自引率
0.00%
发文量
0
审稿时长
12 weeks
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