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Synthesis of Linear JTFA-Based Response Spectra for Structural Response and Seismic Reduction Measures for North-East India
Journal of Earthquake and Tsunami ( IF 2.1 ) Pub Date : 2020-05-08 , DOI: 10.1142/s1793431120500232
Deepa Devaraj 1 , R. Ramkrishnan 1 , T. Prabu 2 , Sreevalsa Kolathayar 3 , T. G. Sitharam 4, 5
Affiliation  

North-East India (NEI) has a long history of devastating earthquakes due to the complicated tectonic setting of the region. A shortage of sufficient recorded time-histories from the region calls for a synthesis of accelerograms for dynamic analyses. In this study, a novel Joint Time-Frequency Analysis (JTFA) technique is adopted for the synthesis of accelerograms, considering the non-stationary behavior of earthquake waves. JTFA is used for analyzing the signals in a joint time and frequency domain to better understand its characteristics and synthesize signals without compromising its inherent characteristics like frequency content and amplitude. Synthetic accelerograms are developed using JTFA techniques for different magnitude and distance ranges between 5 to 6.8 and 0–480[Formula: see text]km and response spectra are developed. Synthesized generalized accelerograms and their response spectra are compared with actual signals in the same magnitude-distance ranges and were found to match. A comparison of the frequency contents of actual and synthetic signals was also carried out using Fourier Transforms and spectrograms (SPs) and was found to be in good agreement. Further, a comparative study of various earthquake reduction measures for NEI is carried out for a scenario earthquake using the synthesized data, and the best suitable structural input for the region is recommended.

中文翻译:

印度东北部结构响应和减震措施的基于线性 JTFA 的响应谱合成

由于该地区复杂的构造环境,印度东北部 (NEI) 有着悠久的破坏性地震历史。该地区缺乏足够的记录时间历史,需要合成加速度图以进行动态分析。在这项研究中,考虑到地震波的非平稳行为,采用一种新颖的联合时频分析 (JTFA) 技术来合成加速度图。JTFA 用于分析联合时域和频域中的信号,以更好地了解其特性并在不影响其固有特性(如频率内容和幅度)的情况下合成信号。合成加速度图是使用 JTFA 技术开发的,用于 5 到 6.8 和 0-480 [公式:见文本]km 之间的不同幅度和距离范围,并开发了响应谱。将合成的广义加速度图及其响应谱与相同幅度距离范围内的实际信号进行比较,发现它们是匹配的。还使用傅立叶变换和频谱图 (SP) 对实际信号和合成信号的频率内容进行了比较,发现它们非常吻合。此外,利用合成数据针对情景地震对NEI的各种减震措施进行了比较研究,并推荐了该地区最合适的结构输入。还使用傅立叶变换和频谱图 (SP) 对实际信号和合成信号的频率内容进行了比较,发现它们非常吻合。此外,利用合成数据针对情景地震对NEI的各种减震措施进行了比较研究,并推荐了该地区最合适的结构输入。还使用傅里叶变换和频谱图 (SP) 对实际信号和合成信号的频率内容进行了比较,发现它们非常吻合。此外,利用合成数据针对情景地震对NEI的各种减震措施进行了比较研究,并推荐了该地区最合适的结构输入。
更新日期:2020-05-08
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