基于弹塑性分区响应的矩形巷道应变型灾变模拟试验方法
By using a strain-type disaster simulation test method for rectangular roadways based on elastoplastic partitioned response, the problem of the inability to accurately simulate the disaster characteristics of surrounding rock in rectangular roadways in existing technologies has been solved. This method achieves accurate characterization of the internal partitions of coal samples in roadways under laboratory conditions and reveals the energy transfer mechanism, thereby improving the similarity and reference value between the simulation and reality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNIV OF MINING & TECH
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient to accurately simulate the catastrophic characteristics and triggering mechanisms of surrounding rock in rectangular tunnel structures on a laboratory scale, especially in the entire process from quasi-static deformation to dynamic failure, and cannot effectively reveal the energy transfer and dynamic interaction between the shallow plastic zone and the deep elastic zone.
A strain-induced disaster simulation test method based on elastoplastic zoned response of rectangular roadways was adopted. Coal samples containing rectangular cavities were prepared, and synchronous stress was applied and removed using a true triaxial loading device. Combined with acoustic wave detection, acoustic emission sensors, acceleration sensors and optical measurement markers, the zoned response characteristics and energy transfer process of the surrounding rock were monitored and analyzed.
This method enables the non-invasive and quantitative determination of the elastic-plastic zoning boundaries within coal samples in roadways under laboratory conditions, providing a reliable basis for zoning monitoring and mechanism research. It also reveals the mechanisms of energy accumulation, transfer, and release during disasters, and improves the similarity between laboratory simulations and engineering realities.
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Figure CN122108777B_ABST