Detection Method of Pile Foundation on Subway Lines Based on Cross-Hole Resistivity Computed Tomography

Su, Maoxin; Liu, Yimin; Xue, Yiguo; Qu, Chao; Wang, Peng; Zhao, Ying

doi:10.1061/(asce)cf.1943-5509.0001515

Cited by 10 publications

(1 citation statement)

References 16 publications

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“…At present, due to the high drilling and prospecting cost, and the impossibility of acquiring continuous geological profile between the two boreholes, karst geophysical prospecting is the primary means to study the karst features underground. In karst engineering, geological radar [5][6][7][8][9], cross-hole computed tomography (CT) [10][11][12], and high-density electronic method [13,14] have been widely tested, while micro-gravity [15,16] and tube-wave method [17] have been developed. In engineering practice, multiple geophysical prospecting methods are usually applied synthetically, rather than used independently [18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Depth Distribution Curve of Dissolution Rates Based on the Undulating Features of Rock Surfaces

2022

Teh. vjesn.

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In karst regions, the drilling into the rock layer is restricted, if the construction site has a thick overburden and a small upper load. The evaluation of karst development features beneath the site becomes a common technical difficulty in building foundation engineering. Drawing on our previous research into the depth distribution features of dissolution rate, this paper collects 1000 plus data on typical karst regions across China, and selects 65 data for detailed analysis. Specifically, the rock surface dissolution features were analyzed on the top and bottom of the strong dissolution zone, and used to set up the control conditions for the top and bottom predictions of the strong dissolution zone. On this basis, the authors provided a prediction method for the depth distribution curve of dissolution rates. The results show that the elevation of 75% dissolution rate can be regarded as the top elevation of the strong dissolution zone at the site, which controls the prediction error within 0.5 m. If the pores and fissures are not so developed at the karst site, the elevation of 15% dissolution rate can be regarded as the bottom elevation of the strong dissolution zone at the site. According to the top and bottom elevations, the authors derived the predicted curve of the depth distribution function for the dissolution rates at each site. The predicted curve basically overlapped the curve and scatterplot of the dissolution rates measured at the site, a sign of reliable prediction. The proposed prediction method for the depth distribution curve of the dissolution rates at karst construction sites mainly applies to the sites with undeveloped to moderately developed pores and fissures. Further research is needed to verify its effectiveness in sites with strongly developed pores and fissures.

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Section: Introductionmentioning

confidence: 99%

Prediction of Depth Distribution Curve of Dissolution Rates Based on the Undulating Features of Rock Surfaces

2022

Teh. vjesn.

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Detection method for boulders in subway shield zones based on data fusion multi-resistivity three-dimensional tomography

Liu

Xue

et al. 2021

Bull Eng Geol Environ

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Improvement of the accuracy of active seismic tomography by eliminating blasting delay in coal mines

Gong

Li²,

Shangguan³

et al. 2023

Arab J Geosci

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Detection Method of Pile Foundation on Subway Lines Based on Cross-Hole Resistivity Computed Tomography

Cited by 10 publications

References 16 publications

Prediction of Depth Distribution Curve of Dissolution Rates Based on the Undulating Features of Rock Surfaces

Prediction of Depth Distribution Curve of Dissolution Rates Based on the Undulating Features of Rock Surfaces

Detection method for boulders in subway shield zones based on data fusion multi-resistivity three-dimensional tomography

Improvement of the accuracy of active seismic tomography by eliminating blasting delay in coal mines

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