Method and system for optimizing mix ratio of geopolymer recycled concrete based on artificial intelligence

Through the optimization method and system of geopolymer recycled concrete ratio based on artificial intelligence, the problem of inefficiency of traditional design methods is solved, and the precise and efficient optimization of geopolymer recycled concrete ratio is achieved, and the scientificity of the formula and the optimized working efficiency are improved.

CN119475506BActive Publication Date: 2025-05-13GUANGXI UNIVERSITY OF TECHNOLOGY +1
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Patent Information

Application Number
CN202411506977.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-28
Publication Date
2025-05-13
Estimated Expiration
2044-10-28

AI Technical Summary

Technical Problem

The composition of geopolymer recycled concrete is complex, and the traditional concrete mix design method is inefficient and difficult to achieve optimal performance. The existing optimization methods have problems such as huge data, low efficiency and insufficient optimization effects.

Method used

The optimization method and system of geopolymer recycled concrete ratio based on artificial intelligence is adopted, and the precise and efficient optimization of geopolymer recycled concrete ratio is achieved through finite element simulation, data correction, matching mortar index library, screening design parameter sets, and building optimization models.

Benefits of technology

The efficiency and accuracy of optimization of the proportion of geopolymer recycled concrete is improved, the adaptability of the model is enhanced, the scientificity of the formula and the optimized work efficiency are achieved, and important support is provided for the resource utilization of construction waste and the development of green building materials.

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Abstract

The present invention discloses a method and system for optimizing the mix proportion of geopolymer recycled concrete based on artificial intelligence, including obtaining geotechnical test data and finite element simulation data, determining the net paste strength f p and the design range of geopolymer components, calculating the deviation coefficient to correct the finite element simulation data to obtain a net paste index library and a mortar index library, matching the database to obtain a first mortar design parameter set and a second mortar design parameter set, screening the second mortar design parameter set to obtain a first design formula set, constructing an artificial intelligence-based geopolymer recycled concrete mix proportion optimization model according to the first design formula set, and inputting the mix proportion to be optimized into the geopolymer recycled concrete mix proportion optimization model to output the optimized mix proportion. This method can not only improve the speed and effect of optimizing the mix proportion of geopolymer recycled concrete, but also has good interpretability and can be directly applied to the geopolymer recycled concrete mix proportion optimization system.
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Citation Information

Patent Citations

  • Durable concrete mix proportion optimization method based on RF-NSGA-II

    CN111986737A