Intelligent compensation method and system for frost heaving force of high-altitude frozen soil variable cross-section tunnel based on cloud-edge collaborative structure health monitoring

By constructing a cloud-edge collaborative structural health monitoring system inside the tunnel, the system can sense and dynamically regulate frost heave energy in real time, thus solving the problem of structural damage caused by frost heave force in high-altitude permafrost tunnels and achieving timely and long-term adaptive optimization of frost heave force control.

CN121497436APending Publication Date: 2026-02-10CHINA COMMUNICATIONS CONSTRUCTION +1
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Patent Information

Application Number
CN202512011723.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-29
Publication Date
2026-02-10

AI Technical Summary

Technical Problem

When constructing tunnels in high-altitude permafrost regions, existing monitoring methods lack the ability to perceive multiple parameters such as pressure, displacement, and temperature in real time across the entire tunnel. The monitoring system operates independently and lacks cloud-edge collaboration and adaptive optimization of digital models, making it difficult to identify and control tunnel structural damage caused by frost heave in a timely manner.

Method used

A cloud-edge collaborative structural health monitoring method is adopted. By setting up intelligent monitoring nodes and energy management control units in the tunnel, a multi-parameter edge monitoring network is constructed to acquire pressure, displacement and temperature information in real time. The phase change energy absorption layer, shape memory alloy elastic layer and temperature control device are linked and controlled to realize the diversion and absorption and reversible compensation of frost heave energy.

Benefits of technology

It enables real-time sensing and dynamic scheduling of frost heave energy, reduces peak frost heave pressure and residual deformation after freeze-thaw cycles, improves the timeliness and targeting of control, and has long-term adaptive optimization capabilities.

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Abstract

The invention discloses an intelligent compensation method and system for the frost heaving force of a high-altitude frozen soil variable cross-section tunnel based on cloud-edge collaborative structure health monitoring, belongs to the technical field of structure health monitoring and intelligent monitoring control, and is particularly applied to cold region tunnel engineering. A variable cross-section compensation section is arranged in a frost heaving high-risk area, an annular buffer cavity is formed between a secondary lining and a primary support, a phase change energy absorption layer is arranged on a vault, a shape memory alloy elastic layer is arranged at an arch bottom, and frost heaving energy is guided and absorbed in cooperation with an annular drainage and heat preservation waterproof structure. The intelligent monitoring nodes are arranged along the tunnel to collect pressure, displacement and temperature data, and the energy management control unit regulates and controls the phase change layer, the elastic layer and the temperature control device in a linkage mode according to a preset safety threshold value and a grading rule and can adaptively correct the threshold value according to multi-cycle operation data. According to the method, the frost heaving peak pressure and cyclic residual deformation borne by the secondary lining are remarkably reduced, and the safety and durability of the high-altitude frozen soil tunnel are improved.
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