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搅拌桩加固软土地基的物探检测方法

Geophysical Detection Methods for Soft Soil Foundation Reinforcement by Mixing Piles

  • 摘要: 软土因其高含水量、高压缩性、低强度等特性易诱发工程沉降及稳定问题,因此工程场地遇软土地基通常需要采取相应措施进行处理,而对处理效果进行检测则是保证项目安全的重要环节,也是项目达到闭环的关键步骤。本文依托于珠江三角洲某天然气管线工程搅拌桩加固检测项目,初步对比各物探方法特点及适用性,最终选用微动法和地质雷达法在两个站点开展合理、全面的现场试验,再通过数据后处理重点分析微动法和地质雷达法对软土地基采用水泥搅拌桩处理后的检测结果。试验结果表明,地质雷达法在软土地区受地下水位和干扰介质影响较大,检测深度在3 m~4 m,无法对搅拌桩桩头及其加固深度进行检测。微动法信噪比较高,可检测至地下30 m范围,且通过设置同一场地的未加固区域作为对照组,利用地下同种土体自身的视横波速度大小变化基本可以划分层位和异常点位,以此方法对搅拌桩大面积加固效果进行检测是可行且有效的。

     

    Abstract: Soft soils, characterized by high water content, high compressibility and low shear strength, frequently trigger excessive settlement and stability problems. Consequently, sites underlain by soft ground usually require ground improvement, and verifying the effectiveness of such treatment is an essential step for project safety and for closing the construction loop. Drawing on a quality-control program for deep-mixing columns installed along a natural-gas pipeline in the Pearl River Delta, this paper first compares the advantages and limitations of common geophysical methods and then selects the microtremor (passive surface-wave) technique and ground-penetrating radar (GPR) for comprehensive field trials at two work sites. After data processing, the detection results of the two methods on cement-mixed columns in soft soil are analysed in detail. The trials show that, in soft, water-rich ground, GPR is strongly affected by the high water table and by conductive or heterogeneous inclusions; its effective penetration is limited to 3–4 m, which is insufficient to image the column heads or to verify the designed improvement depth. By contrast, the microtremor method exhibits a high signal-to-noise ratio and can reliably probe to about 30 m depth. By establishing an untreated reference zone within the same site and comparing the apparent shear-wave (Vs) velocities of identical soil layers, stratification and anomalous zones can be identified. The results demonstrate that the microtremor technique is feasible and efficient for large-area quality assessment of deep-mixing improvement, and can serve as guidance for similar projects in the future.

     

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