多功能参数静力触探在地震液化判别方法中的应用进展研究

Progress of the Application of the Multifunctional Cone PenetrationTest in the Seismic Liquefaction Discrimination Method

摘要:

地震液化是引起地基失稳和上部结构损害的直接原因之一，而液化震害预防的第一步就是对工程场地进行液化预测和判别。静力触探（CPT）作为最主要的原位测试技术，因其具有快速、低廉、高效等优点，被广泛用于液化判别。根据国内外近年来CPT技术的发展，对不同形式的CPT[孔压静力触探技术（CPTU）技术，电阻率孔压静力触探（RCPTU）技术、地震波孔压静力触探技术（SCPTU）技术等]在地震液化评价中的应用进行系统的论述。特别介绍一种基于状态参数进行液化判别的方法，另外还简要介绍基于概率统计分析法。比较和梳理各种液化判别方法的差异性，最后，在已有研究成果的基础上分析现有CPT液化判别法存在的问题与不足。分析结果表明：状态参数法能够同时考虑围压应力和孔隙比的影响，有效地将室内试验与现场试验联系起来；SCPTU、RCPTU液化判别框架还需进一步拓展与完善；概率统计分析法需结合相应软件使其更具适用性。

Abstract:

Seismic liquefaction is one of the direct causes of the instability of the foundation and damage to the upper structure, and the first step is to predict and judge the liquefaction of the project site. Therefore, the rationality and reliability of liquefaction discrimination method is an important part of geotechnical seismic investigation. As the main test of in situ technology, the cone penetration test (CPT) is widely used for discrimination of liquefaction due to its advantages of high speed, low cost and high efficiency. In line with the development of CPT technology in the country and abroad in recent years, the application of different CPT technologies in the assessment of earthquake liquefaction has been systematically summarized. In this article, a method of liquefaction discrimination based on state parameters was introduced especially, and the method based on statistical and probability analysis was introduced briefly. Then, the difference between the different liquefaction discrimination methods was compared and analyzed. Finally, based on the results of the existing research, the problems and deficiencies of the existing methods of CPT were studied. The results showed that the method based on state parameters can consider the effects of confinement pressure, stress and void ratio and connect the laboratory test and the field test effectively; The SCPTU and RCPTU liquefaction discrimination structures need to be expanded and improved; the probability and statistical analysis method needs to be combined with the corresponding software to make it more applicable.