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CN-121983194-A - Tunnel grouting material proportion optimization method considering service environment temperature

CN121983194ACN 121983194 ACN121983194 ACN 121983194ACN-121983194-A

Abstract

The invention relates to the technical field of tunnel and underground engineering materials, and provides a tunnel grouting material proportioning optimization method considering service environment temperature, which comprises the following steps of 1, preparing aggregate with the same parameter grading as that of tunnel site aggregate; the method comprises the steps of preparing a representative sample, simulating a service temperature field, testing multidimensional performance, calculating comprehensive bearing performance indexes, constructing a prediction model, and optimizing and deciding a proportion. According to the invention, through multi-gradient temperature simulation and system mechanical test, the change rule of the performance of the common-superfine composite cement slurry along with the ratio and the temperature is revealed, the ratio interval with optimal comprehensive performance is precisely positioned, and a performance prediction model is established, so that the technical problems of lack of quantitative basis and neglecting temperature influence in the ratio design in the prior art are solved.

Inventors

  • HE RU
  • QI JIANFENG
  • LIU CONG
  • Qi Shuangxing
  • WU BO
  • DOU ZHONGSI
  • LU QINGRUI
  • Liang haian

Assignees

  • 东华理工大学南昌校区

Dates

Publication Date
20260505
Application Date
20260108

Claims (6)

  1. 1. The tunnel grouting material proportioning optimization method considering the service environment temperature is characterized by comprising the following steps of: step 1, preparing aggregate with the same parameter grading as tunnel aggregate; step 2, respectively preparing grouting slurry with the mass ratio of the superfine cement to the common silicate cement slurry of 0%, 50% and 100%, and respectively injecting the grouting slurry into the aggregate in the step 1 to obtain 3 groups of sample bodies; step 3, heating the sample body in the step 2 to at least 3 target temperatures respectively, keeping the temperature for 2 hours at constant temperature, simulating the service environment temperature of the target tunnel, and then cooling to room temperature to obtain a pretreated sample body; Step 4, respectively carrying out static triaxial compression test and dynamic Hopkinson bar impact test on the 3 groups of sample bodies pretreated in the step 3 to obtain mechanical parameters of each group of sample bodies; step 5, based on the mechanical parameters in the step 4, respectively calculating the comprehensive load-bearing performance indexes of 3 groups of sample bodies; step 6, based on the comprehensive load bearing performance index obtained in the step 5 Respectively establishing standard service environment temperature for corresponding sample bodies And standardized superfine cement blending amount For inputting and integrating load-bearing performance index Obtaining 3 groups of quadratic polynomial prediction models for the output quadratic polynomial prediction models; Step 7, calculating the target service temperature and different doping amount combinations of each group of quadratic polynomial prediction models based on the 3 groups of quadratic polynomial prediction models in the step 6 The value is calculated as the integrated load bearing performance index Comprehensive load bearing performance index not less than theory Under the constraint condition of (1), combining expert scoring analysis, establishing a technical and economic optimization objective function C total , and selecting the grouting slurry with the minimum mass ratio of the superfine cement with the numerical value C total to the common silicate cement slurry as an optimal ratio scheme.
  2. 2. The tunnel grouting material proportioning optimization method considering service environment temperature as claimed in claim 1, wherein in step 2, the water-cement ratio of grouting slurry is 0.5-0.8, and the particle size of superfine cement is ≤5μm。
  3. 3. The tunnel grouting material proportioning optimization method considering service environment temperature according to claim 1, wherein in step 3, at least 3 target temperatures are specifically set between-100 ℃ and 600 ℃ according to common temperatures of tunnels in cold areas and high-temperature tunnels and tunnel fire accident temperatures.
  4. 4. The tunnel grouting material proportioning optimization method considering service environment temperature as claimed in claim 1, wherein in step 4, the mechanical parameters of each group of sample bodies comprise static peak intensity Dynamic peak intensity The static elastic modulus E, the dynamic elastic modulus E d , the damage coefficient DC, the specific energy absorption value EA, the dynamic strength increase factor DSF and the mass loss rate ML.
  5. 5. The tunnel grouting material proportioning optimization method considering service environment temperature according to claim 1, wherein in step 6, parameter fitting is carried out by a least square method in the establishment of each group of quadratic polynomial prediction models, the model precision requirements are R2 is more than or equal to 0.90, and model verification is carried out by a left-right cross verification method.
  6. 6. The optimization method of the tunnel grouting material ratio considering the service environment temperature according to claim 1, wherein in step 7, the technical and economic optimization objective function C total is: C total =α·C material +β·C construction +γ·C maintenance Wherein alpha, beta and gamma are weight coefficients, and the weight coefficients respectively correspond to the cost of raw materials, the construction cost and the maintenance cost and are given by expert scoring; c material is the raw material cost required for a unit volume of grouting material; c construction is the construction cost generated in the grouting construction process; C maintenance is the maintenance cost incurred by the grouting body over the life cycle.

Description

Tunnel grouting material proportion optimization method considering service environment temperature Technical Field The invention relates to the technical field of tunnel and underground engineering materials, in particular to a tunnel grouting material proportion optimization method considering service environment temperature. Background In tunnel engineering, grouting technology is the important means of solving key technical problems such as surrounding rock breakage, groundwater leakage, chamber stability and the like. With the advance of heavy projects such as the Sichuan railway, tunnel construction faces serious environmental temperature challenges. Grouting reinforcement is a key technology for guaranteeing stability of surrounding rock of a tunnel, and the core of the grouting reinforcement is selection of grouting materials. Superfine cement (MC) is often used in engineering to obtain excellent permeability, but high cost restricts large-scale application, and ordinary Portland cement (C) has low cost and limited performance. The two are considered as an ideal solution, but the compounding ratio is optimized, and the performance evolution rule of the ratio under a complex temperature field is always a blind spot of engineering practice. The traditional grouting material proportioning design mostly depends on the experience of engineers or performance test at a single temperature, and deep knowledge of the material performance evolution rule under a complex service environment (especially extreme temperature condition) is lacking. The prior art has the following defects that the proportioning design lacks comprehensive performance evaluation indexes, only focuses on a single mechanical parameter, ignores the remarkable influence of temperature on the long-term performance of the grouting material, lacks a quantitative prediction model based on multidimensional performance parameters, and lacks scientific basis for technical and economic optimization decision. At present, a set of systematic test methods and quantitative decision systems are lacking to answer the core problem of 'what proportion can realize optimal balance of cost and performance under a specific temperature environment'. This results in either wasted material design due to redundancy in performance or risks due to insufficient performance. Especially under extreme working conditions such as cold region tunnel, high ground heat tunnel and fire disaster, the traditional empirical proportion lacks quantitative basis, ignores temperature influence, and cannot meet engineering safety requirements. Disclosure of Invention Aiming at the problems, the invention aims to provide a tunnel grouting material proportioning optimization method considering the service environment temperature, discloses the change rule of the proportioning performance of superfine cement and ordinary silicate cement slurry along with proportioning and temperature through multi-gradient temperature simulation and system mechanical test, accurately locates the proportioning interval with optimal comprehensive performance, establishes a performance prediction model, and solves the technical problems that proportioning design in the prior art lacks quantitative basis and ignores temperature influence. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: a tunnel grouting material proportion optimization method considering service environment temperature comprises the following steps: step 1, preparing aggregate with the same parameter grading as tunnel aggregate; step 2, respectively preparing grouting slurry with the mass ratio of the superfine cement to the common silicate cement slurry of 0%, 50% and 100%, and respectively injecting the grouting slurry into the aggregate in the step 1 to obtain 3 groups of sample bodies; step 3, heating the sample body in the step 2 to at least 3 target temperatures respectively, keeping the temperature for 2 hours at constant temperature, simulating the service environment temperature of the target tunnel, and then cooling to room temperature to obtain a pretreated sample body; Step 4, respectively carrying out static triaxial compression test and dynamic Hopkinson bar impact test on the 3 groups of sample bodies pretreated in the step 3 to obtain mechanical parameters of each group of sample bodies; step 5, based on the mechanical parameters in the step 4, respectively calculating the comprehensive load-bearing performance indexes of 3 groups of sample bodies; step 6, based on the comprehensive load bearing performance index obtained in the step 5 Respectively establishing standard service environment temperature for corresponding sample bodiesAnd standardized superfine cement blending amountFor inputting and integrating load-bearing performance indexObtaining 3 groups of quadratic polynomial prediction models for the output quadratic polynomial prediction models; Step 7, calculating