一种锚杆-锚索协同承载的支护参数智能设计方法及系统
By employing a dual-constraint design for anchor bolt length, spatial collaborative calculation of anchor cable length, and quantification of stress interference coefficient, combined with genetic algorithm optimization, the problems of poor coordination and material waste in the design of anchor bolt and anchor cable support parameters were solved. This enabled intelligent design and dynamic optimization of the support system, improving the safety and material utilization efficiency of deep roadways.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA UNIV OF MINING & TECH
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
The design of existing anchor bolt and anchor cable support parameters relies on engineering experience, resulting in improper selection of anchor bolt length, unstable anchor foundation, disconnect between anchor cable length and geological conditions, severe stress field interference, poor coordination of support system, low material utilization efficiency, and inability to dynamically correct.
By employing a dual-constraint design for anchor bolt length, spatial collaborative calculation of anchor cable length, quantification of stress interference coefficient, and optimization of system synergy, multi-constraint optimization is performed through genetic algorithms or particle swarm optimization, combined with on-site monitoring and dynamic verification, to achieve precise collaborative load-bearing of anchor bolts and anchor cables.
It improves the design reliability and material utilization efficiency of anchor bolt-anchor cable combined support, ensures the long-term safety and stability of the support system, and realizes the intelligent generation and continuous evolution of support parameters.
Smart Images
Figure CN122413623A_ABST