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MODERN TUNNELLING TECHNOLOGY 2019, Vol. 56 Issue (1) :56-64    DOI:
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Analysis on Karst Development Laws of Tunnels Based on the Markov Random Field
(1 Shanghai Jiaotong Universtiy, Shanghai 200240; 2 Project Management Department of Nanning Rail Transit Line 2, China State Construction Engrg. Corp. Ltd., Nanning 530028; 3 China State Construction Engineering Corporation AECOM Consultants Co., Ltd,Lanzhou 730000)
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Abstract In southwest China, there is a large range of carbonatite areas. With the construction of city infrastruc? ture, especially rail transit, geological disasters related to karst emerge one after another, and it ′ s critical to understand the law of karst development. As for this issue the geological analysis and geophysical prospecting are the common methods to be adopted. In view of superposition issue of physical property parameters of rock mass in geophysical prospecting, inversive identification of lithofacies was conducted based on maximum posteriori probability under the framework of Bayesian and the Markov property of the strata. Taking the Nanning rail transit line 2 as an example, interpretation and verification of karstcave and grike were carried out on the basis of karst development conditions and documents of drilling holes. The results show that: influenced by horizontal circulation zone of groundwater and fracture structure, the spatial distribution of karst caves and grike goes horizontally; grike often occurs in the marl 10 meters away beyond the station floor, and attention should be paid during construction due to the large size and good connectivity of the karst caves.
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KeywordsTunnel   Karst   Development law   Markov random field   Bayesian inversion     
Abstract: In southwest China, there is a large range of carbonatite areas. With the construction of city infrastruc? ture, especially rail transit, geological disasters related to karst emerge one after another, and it ′ s critical to understand the law of karst development. As for this issue the geological analysis and geophysical prospecting are the common methods to be adopted. In view of superposition issue of physical property parameters of rock mass in geophysical prospecting, inversive identification of lithofacies was conducted based on maximum posteriori probability under the framework of Bayesian and the Markov property of the strata. Taking the Nanning rail transit line 2 as an example, interpretation and verification of karstcave and grike were carried out on the basis of karst development conditions and documents of drilling holes. The results show that: influenced by horizontal circulation zone of groundwater and fracture structure, the spatial distribution of karst caves and grike goes horizontally; grike often occurs in the marl 10 meters away beyond the station floor, and attention should be paid during construction due to the large size and good connectivity of the karst caves.
KeywordsTunnel,   Karst,   Development law,   Markov random field,   Bayesian inversion     
Cite this article:   
.Analysis on Karst Development Laws of Tunnels Based on the Markov Random Field[J]  MODERN TUNNELLING TECHNOLOGY, 2019,V56(1): 56-64
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