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Polymer slurry parameter identification method based on particle swarm algorithm

A particle swarm algorithm and parameter identification technology, applied in the field of chemical grouting, can solve the problems of large error and cumbersome chemical reaction kinetic parameter process, and achieve the effect of fast and efficient identification and accurate parameters

Active Publication Date: 2020-12-01
ZHENGZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a method for identifying the parameters of the polymer slurry based on the particle swarm algorithm, so as to solve the cumbersome process of identifying the chemical reaction kinetic parameters of the polymer slurry in the prior art and the large error The problem

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  • Polymer slurry parameter identification method based on particle swarm algorithm
  • Polymer slurry parameter identification method based on particle swarm algorithm
  • Polymer slurry parameter identification method based on particle swarm algorithm

Examples

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Embodiment 1

[0055] In this embodiment, the kinetic parameters of the chemical reaction of the non-aqueous reactive polymer are calculated using the particle swarm algorithm-based identification method to calculate the kinetic parameters of the chemical reaction of the polymer to verify the effectiveness of the present invention. Firstly, set the slurry component concentration c in the calculation model OH,0 4000mol / m 3 , c NCO,0 4000mol / m 3 , the density is 1100kg / m 3 , heat of reaction 7.49×10 4 J·mol -1 , specific heat 1800J / (kg·K).

[0056] S10. Preprocessing: determine the number of particles in the particle swarm n=60, the particle dimension d=2, the maximum number of iterations T=50, and the first learning factor c 1 =0.5, the second learning factor c 2 =0.5, convergence precision ε=0.00001;

[0057] S20. Initialize the velocity, position, fitness value, individual historical optimal fitness value, individual historical optimal position, group historical optimal fitness valu...

Embodiment 2

[0095] In this embodiment, a particle swarm algorithm-based identification method for chemical reaction kinetic parameters of non-aqueous reactive polymers is used to calculate the experimental data to obtain the chemical reaction kinetic parameters of the polymer. Firstly, set the slurry component concentration c in the calculation model OH,0 2110mol / m 3 , c NCO,0 4600mol / m 3 , the density is 1000kg / m 3 , heat of reaction 7.49×10 4 J·mol -1 , specific heat 1800J / (kg·K).

[0096] In this embodiment, the steps of using the particle swarm optimization-based chemical reaction kinetic parameter identification method for non-aqueous reactive polymers are the same as those in Example 1 using the particle swarm algorithm-based chemical reaction kinetic parameter identification method for non-aqueous reactive polymers. The steps are the same and will not be repeated here.

[0097] Table 2 is the final chemical reaction kinetic parameters obtained in Example 2 of a particle swar...

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Abstract

The invention relates to the field of chemical grouting, and relates to a polymer slurry parameter identification method based on a particle swarm algorithm. The method comprises the following steps:preprocessing; initializing the speed, the position, the adaptive value, the individual historical optimal adaptive value, the individual historical optimal position, the group historical optimal adaptive value, the group historical optimal position and the current iteration frequency of each particle; carrying out iterative solution by a particle swarm algorithm; judging whether the preset numberof times of operation is executed or whether the historical optimal adaptive value of the group meets the precision requirement or not; identifying chemical reaction kinetic parameters. According tothe method, the chemical reaction kinetic parameters of the high polymer slurry can be quickly and efficiently identified by utilizing the particle swarm algorithm, and the obtained parameters are more accurate.

Description

technical field [0001] The invention belongs to the field of chemical grouting, in particular to a particle swarm algorithm-based identification method for high polymer grout parameters. Background technique [0002] Grouting is a highly specialized academic branch in geotechnical engineering, which is widely used to deal with various geotechnical engineering problems. The principle is to use special equipment to inject grout (usually cement mortar, chemical grout, etc.) The rock-soil mass exerts action, so that the originally broken and loose surrounding rock becomes a concretion with good integrity and high strength, or the filling effect of the grouting material is used to seal the cracks in the surrounding rock, so as to achieve the purpose of anti-seepage and reinforcement. [0003] In recent years, new polymer grouting materials have been widely used in mines, tunnels and other underground projects, as well as water damage prevention, foundation reinforcement, road ma...

Claims

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Application Information

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IPC IPC(8): G16C10/00G06N3/00
CPCG16C10/00G06N3/006
Inventor 李晓龙姚文艺贾赫扬钟燕辉张蓓申震洲李阳
Owner ZHENGZHOU UNIV
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