基于强震记录的场地液化触发时间识别新方法

    A new method for detection site liquefaction trigger time based on strong motion records

    • 摘要: 地震下土体液化前后其力学性质会发生突变,引起的地表和结构破坏机制也将发生质变。因此,确定液化触发时间对于把握液化灾害的动力演变过程以及控制液化灾害具有重要意义。本研究建立了基于强震记录的场地液化触发时间识别的新方法。基于双层土理论模型,分析孔压发展与场地基本周期、地表加速度频率变化之间的关系,阐明了方法的基本原理;以时频分析技术和频率下降率参数量化加速度记录的时频特征,形成了方法的技术流程。采用全球11次地震中的24条实际液化场地强震记录以及数值模拟手段,对既有两种方法和本文新方法进行对比检验,结果表明了本文新方法的优势。新方法不仅精度更高,而且主控参数阈值来自于理论模型,独立于经验数据,更具一般性和普适性,克服了既有方法需要人为干预而他人难以复现以及依赖于实测记录等缺点,便于推广应用。

       

      Abstract: The mechanical properties of soils undergo significant changes before and after liquefaction during an earthquake, which consequently lead to a qualitative shift in surface and structural damage mechanisms. Therefore, it is important to determine the liquefaction trigger time for grasping the dynamic evolution process of liquefaction disaster and liquefaction mitigation. In this study, a new method for detecting the trigger time of site liquefaction based on strong motion records is established. Based on the theoretical model of two-layer soil, the relationship between pore water pressure development, the site's basic period, and the frequency variation of surface acceleration is analyzed, and the basic principle of the method is clarified. The technical flow of the method was developed by quantifying the time-frequency characteristics of the acceleration records in terms of time-frequency analysis techniques and frequency decrease rate parameters. Using 24 strong motion records from actual liquefaction sites during 11 earthquakes worldwide, along with numerical simulations, the two established methods and the proposed method in this paper are compared and evaluated. The results demonstrate the advantages of the proposed method. The proposed method not only achieves higher accuracy, but its main control parameter is derived from the theoretical model, independent of empirical data, enhancing its generality and applicability. This approach overcomes the limitations of existing methods, such as their reliance on manual intervention, which hampers reproducibility, as well as their dependence on measured records, thereby facilitating broader applicability and implementation.

       

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