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| 2023, Vol. 60(2): 47-53 DOI: | ||
| An Intelligent Inversion Study of In-situ Stress Field in Deep Buried Super-long Tunnels under Complex Geological Conditions | ||
| (1. College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059; 2. State Key Laboratory of Geological Disaster Prevention and Geological Environment Protection, Chengdu University of Technology,Chengdu 610059; 3. Guizhou Transportation Planning Survey & Design Academe Co., Ltd., Guiyang 550081) | ||
| Received null Revised null | ||
| Supporting info | ||
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