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| 2025, Vol. 62(4): 301-308 DOI: | ||
| Multi-source Data Fusion-based Diagnosis and Treatment Strategies for Tructural Defects in Liangjiashan Tunnel on Heavy-haul Railway | ||
| (1.Department of Coal Transportation, National Energy Group, Beijing 100011; 2. China Shenhua Energy Co., Ltd., Beijing 100011; 3. China Railway Academy Group Co., Ltd., Chengdu 610032; 4. China Railway Southwest Research institute Co., Ltd.,Chengdu 611731) | ||
| Received null Revised null | ||
| Supporting info | ||
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