Kim Gunwoong
Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Gyeonggi, Republic of Korea.
Sensors (Basel). 2025 Mar 12;25(6):1757. doi: 10.3390/s25061757.
Geotechnical field testing evaluates soil, rock, and groundwater conditions in their natural states, offering critical information about subsurface properties such as the density, strength, permeability, and groundwater flow. These tests are essential in ensuring the safety, reliability, and performance of civil engineering projects and are increasingly used for 3D geographical visualization and subsurface modeling. While point-based tests like the cone penetration test (CPT) and standard penetration test (SPT) are widely used, area-based methods such as the spectral analysis of surface waves (SASW) and electrical resistivity testing significantly enhance the accuracy of such models by providing broader coverage. Furthermore, these non-destructive techniques are particularly effective in identifying subsurface defects. This study focuses on analyzing the data acquisition areas of various field seismic tests, including SASW, downhole, crosshole, and suspension logging (PS logging). While other tests clearly define data acquisition areas based on their array paths, the SASW test posed challenges due to the complexity of data reconstruction. To address this, 69 datasets from four different sites were analyzed to predict the data acquisition areas for SASW as a function of depth. Moreover, a case study demonstrates the practical application of the SASW method in detecting cavities near a dam spillway. The findings of this research improve the understanding and interpretation of geotechnical seismic test data, enabling more precise geotechnical investigations and advancing the detection of subsurface defects using non-destructive methods.
岩土工程现场测试评估天然状态下的土壤、岩石和地下水状况,提供有关地下特性的关键信息,如密度、强度、渗透性和地下水流。这些测试对于确保土木工程项目的安全性、可靠性和性能至关重要,并且越来越多地用于三维地理可视化和地下建模。虽然像圆锥贯入试验(CPT)和标准贯入试验(SPT)这样的基于点的测试被广泛使用,但基于区域的方法,如表面波谱分析(SASW)和电阻率测试,通过提供更广泛的覆盖范围,显著提高了此类模型的准确性。此外,这些无损技术在识别地下缺陷方面特别有效。本研究重点分析各种现场地震测试的数据采集区域,包括SASW、井下、跨孔和悬挂测井(PS测井)。虽然其他测试根据其阵列路径明确界定了数据采集区域,但由于数据重建的复杂性,SASW测试带来了挑战。为了解决这个问题,分析了来自四个不同地点的69个数据集,以预测SASW作为深度函数的数据采集区域。此外,一个案例研究展示了SASW方法在检测大坝溢洪道附近空洞中的实际应用。本研究的结果增进了对岩土工程地震测试数据的理解和解释,使岩土工程勘察更加精确,并推动了使用无损方法检测地下缺陷的技术发展。