Adjustments for baseline shifts in far-fault strong-motion data: An alternative scheme to high-pass filtering
Adjustments for baseline shifts in far-fault strong-motion data: An alternative scheme to high-pass filtering
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DOI：
10.1016/j.soildyn.2011.07.006
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发表时间：
2011-12
影响因子：
4
通讯作者：
S. U. Sigurdsson;R. Rupakhety;R. Sigbjörnsson
中科院分区：
文献类型：
--
作者：
S. U. Sigurdsson;R. Rupakhety;R. Sigbjörnsson
加速度强运动记录的传统处理方法依靠带通滤波来消除污染噪声。虽然通常需要过滤低频噪声来减少位移和速度波形的失真，但粗略过滤的应用可能会导致地震地面运动长周期分量的损失。本文重点研究基线调整算法，该算法可减少噪声引起的地面运动加速度信号失真，并且与高通滤波不同，它可以长期保留潜在有用的信息。简要描述了强运动数据处理中最先进的技术，然后详细阐述了所提出的基线调整算法及其在最近记录的加速度图上的应用的一些示例。该方法对于高质量远断层数据有效，其中记录信号的幅度具有结构工程意义。
Traditional processing methods of accelerometric strong-motion records rely on band-pass filtering to remove contaminating noise. While filtering of low-frequency noise is often desirable to reduce the distortion of displacement and velocity waveforms, application of crude filtering can lead to the loss of long-period components of earthquake ground motion. This paper focuses on a baseline adjustment algorithm, which reduces noise-induced distortion of ground-motion accelerometric signals, and unlike high-pass filtering, retains potentially useful information at long periods. A brief description of the state of the art techniques in strong-motion data processing is presented, followed by a detailed formulation of the proposed baseline adjustment algorithm and some examples of its applications to recently recorded accelerograms. This method is found effective for high-quality far-fault data where the amplitude of the recorded signal is of structural engineering significance.