• ISSN 2097-1893
  • CN 10-1855/P
赵晓芬,温增平. 2023. 近断层速度脉冲型地震动识别方法研究综述. 地球与行星物理论评(中英文),54(5):532-540. doi: 10.19975/j.dqyxx.2022-072
引用本文: 赵晓芬,温增平. 2023. 近断层速度脉冲型地震动识别方法研究综述. 地球与行星物理论评(中英文),54(5):532-540. doi: 10.19975/j.dqyxx.2022-072
Zhao X F, Wen Z P. 2023. Review of the identification of near-fault velocity pulse-like strong ground motions. Reviews of Geophysics and Planetary Physics, 54(5): 532-540 (in Chinese). doi: 10.19975/j.dqyxx.2022-072
Citation: Zhao X F, Wen Z P. 2023. Review of the identification of near-fault velocity pulse-like strong ground motions. Reviews of Geophysics and Planetary Physics, 54(5): 532-540 (in Chinese). doi: 10.19975/j.dqyxx.2022-072

近断层速度脉冲型地震动识别方法研究综述

Review of the identification of near-fault velocity pulse-like strong ground motions

  • 摘要: 速度脉冲型地震动对近断层区域工程结构有特殊的破坏作用,是造成近断层区域震害的主要影响因素之一. 开展近断层速度脉冲型地震动研究对揭示近断层区域工程结构的地震破坏机理、开展抗震设防以及抗震设计具有重要价值. 速度脉冲的有效识别是关键环节,主要历经定性、半定量、定量的过程. 其中定量识别方法具有可重复性、可批量处理等优点,越来越受到广泛认可和应用. 然而目前定量速度脉冲识别方法尚未有统一的、明确的判别原则. 本文从识别条件、基本原理、关键步骤、应用范围等方面系统总结并详细介绍了目前国内外常用的三类定量速度脉冲识别方法,即基于连续小波变换的速度脉冲识别方法、基于能量的速度脉冲识别方法以及多速度脉冲定量识别方法,并推荐了这三类方法中的代表方法,分析了其优缺点. 分析指出速度脉冲识别方法的不同,本质是速度脉冲主要特征波形的提取手段以及量化的判别标准的不同. 各种方法都有自身的优势,但由于速度脉冲记录波形的不稳定性,没有任何一种方法可以达到百分之百的识别率. 此外,现有的定量识别方法都是基于信号处理方法和脉冲特性基本原理,并未考虑速度脉冲产生机制. 因此需要综合上述三点来综合判别速度脉冲,形成完善的脉冲判别体系. 最后,探讨了定量的速度脉冲识别方法进一步提升的关键问题和研究重点.

     

    Abstract: Strong pulse-like ground motions have caused extensive damage to many engineering structures and are one of the main factors influencing earthquake damage in near-fault regions. Therefore, it is necessary to study near-fault velocity pulse-like ground motions to reveal the seismic failure mechanism of engineering structures in near-fault areas and to carry out seismic fortification and seismic design. The key step is the effective identification of strong pulse-like ground motions. The strong pulse-like ground motions identified in previous studies have typically been selected by subjective judgment, because the velocity-time history of the ground motion is dominated by a large pulse. The selection of pulse-like ground motions using these approaches requires a certain level of judgment. However, the classification may not be obvious for many ground motions. Numerous researchers have attempted to capture pulse-like features using different approaches, of which simple pulse models, known as semi-quantitative methods, are commonly used. However, one limitation of semi-quantitative approaches is that most do not provide a quantitative pulse-detection scheme; that is, the classification of pulse-like ground motions may not be easily reproducible. Many quantitative classification methods for pulse-like ground motions have been developed. These quantitative classifications provide electronic libraries of recorded ground motions, list statistics indicating whether a given ground motion contains a velocity pulse, and help the science and engineering communities to access these ground motions and study their effects for research or practical applications. In brief, the identification methods for strong velocity pulse-like ground motions have undergone qualitative, semi-quantitative, and quantitative development processes. Among these methods, the quantitative identification method has the advantages of repeatability and batch processing and is increasingly recognized and applied. However, there is no uniform and definite classification principle for quantitative velocity pulse recognition methods. In this paper, three types of quantitative identification methods commonly used for velocity pulses are systematically summarized and introduced in detail from the aspects of recognition conditions, basic principles, key steps, and application scope. Representatives of these three methods are recommended, including a quantitative classification method using wavelet analysis, a quantitative identification method based on energy, and an efficient algorithm based on significant velocity half-cycles. In addition, their advantages and disadvantages were analyzed. Because of the instability of the velocity pulse recording waveform, no method can achieve a pulse recognition rate of 100%. In addition, although quantitative methods have made great progress in pulse recognition, period determination, and pulse recording direction determination, they are all based on the basic principles of signal processing methods and pulse characteristics without considering the mechanism of velocity pulse generation. Thus, it is necessary to include the above mentioned three points to synthetically identify the strong ground motions of the velocity pulse and form an optimal pulse-discriminant system. Finally, the key problems affecting the further improvement of the quantitative velocity pulse recognition method are discussed, and the research emphasis for its future development is highlighted. This provides a basic reference for beginners in the field.

     

/

返回文章
返回