Method for evaluating safety of early-age shotcrete of primary support under cyclic blast load
By establishing finite element and neural network models, and combining temperature gradient and mechanical characteristic parameters, the safety of shotcrete under cyclic blasting loads is evaluated, solving the problem of difficulty in evaluating the safety of shotcrete in existing technologies, and realizing a more scientific and reliable safety assessment of tunnel construction.
Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA RAILWAY FIRST GROUP CO LTD
- Filing Date
- 2025-08-13
- Publication Date
- 2026-06-26
AI Technical Summary
Existing technologies make it difficult to accurately assess the safety of shotcrete under cyclic blasting loads, especially in the early stages when its strength and durability are affected by both high temperature and dynamic loads. The lack of systematic analysis and evaluation methods leads to safety hazards in tunnel construction.
A finite element model was established, and the blasting load was determined by the detonation wave theory of condensed matter explosives. Combined with temperature gradient data and mechanical characteristic parameters, a neural network model was used to monitor changes in water content. The mapping relationship between the mechanical characteristic parameters of the support and the degree of hydration and water content was established. Safety difference standards were set to evaluate the damage and safety of shotcrete.
It enables accurate safety assessment of shotcrete under cyclic blasting loads, improves the scientific rigor and rationality of the assessment, provides data support for construction management and quality control, and reduces safety hazards.
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Abstract
Citation Information
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