Electronic appendix to Automated Classification of Near-Fault Acceleration Pulses Using Wavelet Packet v2

** This dataset supersedes the previous published version at doi: 10.5523/bris.1wc9d21lbd5fr2mvhng72zpyj3.**

This study proposes a new algorithm for automatically classifying two types of velocity pulses that are produced either by a distinct acceleration pulse (acc-pulse) or a succession of high-frequency one-sided acceleration spikes (non-acc-pulse). For achieving this, wavelet packet transform is used to filter the high-frequency content and to
extract the coherent velocity pulse. Then, the pulse period is unequivocally derived
through the peak point method. Following the determination of the pulse-starting (ts)
and pulse-ending (te) time instants in the velocity time-history, a local acceleration
time-history truncated by ts and te is obtained. The maximum relative energy of the
pulse between two adjacent zero crossings is then employed as indicator for distinguishing the two types of velocity pulses. The criteria for identifying acc-pulses and
non-acc-pulses are calibrated using a training data set of manually classified ground
motions from the Next Generation Attenuation West 2 project. Finally, significance
of such a classification between velocity pulses of different characteristics is assessed
through the comparison of elastic acceleration response spectra of the two categories
of pulse-like records.
Herein electronic appendix to the study including the algorithm output for the full database employed is proposed.

本数据集替代了此前发表于DOI:10.5523/bris.1wc9d21lbd5fr2mvhng72zpyj3的版本。

本研究提出一种全新算法，可自动分类两类速度脉冲：一类由独立加速度脉冲（acceleration pulse，下文简称acc-pulse）产生，另一类由一系列高频单向加速度尖峰构成，对应非加速度脉冲（non-acceleration pulse，下文简称non-acc-pulse）。为实现该分类目标，本研究采用小波包变换（Wavelet Packet Transform）滤除高频信号分量并提取相干速度脉冲；随后通过峰值点法明确推导脉冲周期。在确定速度时程中的脉冲起始时刻（ts）与脉冲终止时刻（te）后，即可得到以ts和te为边界截取的局部加速度时程。随后以相邻过零点间脉冲的最大相对能量作为判别指标，区分这两类速度脉冲。本研究基于下一代衰减模型西2（Next Generation Attenuation West 2）项目中人工分类的地震动训练数据集，对acc-pulse与non-acc-pulse的识别准则进行校准。最后，通过对比两类脉冲型记录的弹性加速度反应谱，评估不同特性速度脉冲分类的实际意义。

本研究附带电子附录，包含本次研究所用全部数据库的算法输出结果。