High-frequency acoustic physical modeling and imaging characteristics for fine-scale geological features in underground engineering
GONG Zhifei1, 2, XIAO Xiangfeng1, 2, CHEN Lei1, 2*, FU Chao1, 2, GUO Yiguo3, FU Yimu3
(1. State Key Laboratory for Tunnel Engineering, Shandong University, Jinan, Shandong 250061, China; 2. Institute of Geotechnical and Underground Engineering, Shandong University, Jinan, Shandong 250061, China; 3. State Grid Shandong Electric Power Company Economic and Technological Research Institute, Jinan, Shandong 250021, China)
Abstract：To investigate high-resolution detection methods for meter- to sub-meter-scale hazard sources in underground engineering, this study conducts high-frequency acoustic physical modeling experiments. First, a physical model incorporating multiple types and combinations of karst bodies is constructed based on the typical distribution characteristics of hazard sources. Subsequently, multi-line array acoustic data are acquired using the established experimental system. Finally, the recorded data are processed and interpreted through velocity analysis and migration imaging. The experimental results demonstrate that the proposed method effectively images the spatial locations and sizes of karst bodies. Furthermore, the imaging performance is influenced by target size, burial depth, and filling medium: larger targets and shallower burial depths yield improved detectability, while variations in filling media are reflected in changes in reflection strength and imaging features. Overall, this study establishes a high-frequency acoustic physical modeling testing method, providing practical support for the optimization and validation of high-resolution detection approaches for small-scale hazard sources under complex conditions.
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2026, Vol. 45 
