Evaluation of Compressive Geophysical Prospecting Method for the Identification of the Abandoned Goaf at the Tengzhou Section of China’s Mu Shi Expressway

Shukun Zhang (), Peng Jiang, Lu Lu, Shuai Wang and Haohao Wang
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Shukun Zhang: School of City and Architecture Engineering, Zaozhuang University, Zaozhuang 277160, China
Peng Jiang: School of City and Architecture Engineering, Zaozhuang University, Zaozhuang 277160, China
Lu Lu: School of City and Architecture Engineering, Zaozhuang University, Zaozhuang 277160, China
Shuai Wang: School of City and Architecture Engineering, Zaozhuang University, Zaozhuang 277160, China
Haohao Wang: School of City and Architecture Engineering, Zaozhuang University, Zaozhuang 277160, China

Sustainability, 2022, vol. 14, issue 21, 1-15

Abstract: Subsidence deformation of abandoned goafs can induce cracking, distortion and even collapse of surface buildings (structures), and thus, subsidence deformation poses a great threat. Accurate detection of the abandoned goaf location and overburden morphology is an important prerequisite for stability evaluation and scientific management of surface buildings (structures), and effective detection methods are bottlenecks for accurate detection. Taking the abandoned goaf in the Tengzhou section of China’s Mu Shi expressway as an engineering example, step-by-step detection, traditional detection and combination methods are used to determine the location of the underlying abandoned goaf and overburden morphology. First, we conduct disaster investigation on the expressway and surface within the affected area of the abandoned goaf and initially determine the detection area. Then, according to the principle that the detection range can be examined step-by-step from large to small, the high-density resistivity method is used for detection, and the high-resolution seismic method is further selected to analyze the target area. Then, based on the results of the resistivity method, the position of the abandoned goaf is evaluated with the high-resolution seismic method, and the distributions of the overburden subsidence, the water-filled fractured zone and the caving zone (the three belts) are determined. Finally, boreholes are drilled deep into the bottom of the abandoned goaf at specific locations and the distributions of the abandoned goaf and three belts are verified and corrected with drilling data, acoustic detection and borehole TV imaging technology, thereby providing accurate data on abandoned goafs for highway stability evaluation.

Keywords: abandoned goaf; expressway; progressive detection; step-by-step detection; exploration and combination; comprehensive detection (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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