Salt freeze mechanical property explainable prediction and evaluation method based on tabPFN model solid waste base polymer grouting material, computer equipment and storage medium

CN122930280APending Publication Date: 2026-10-16CHONGQING JIAOTONG UNIV
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Patent Information

Application Number
CN202611085434.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-21
Publication Date
2026-10-16

AI Technical Summary

Technical Problem

[0006]有鉴于此,本发明提供了基于TabPFN模型的固废基地聚物注浆材料盐冻力学性能可解释预测与评价方法、计算机设备和存储介质,以解决现有评估及预测方法对盐冻耦合环境不适用,难以实现盐冻后力学性能的快速、高精度和可解释预测等问题

Benefits of technology

[0017] (1) Fully reveal the nonlinear relationship between pore deterioration and salt-freezing mechanical response in salt-freezing coupled environment, introduce key pore structure variables and small sample pre-trained TabPFN model, construct an interpretable prediction framework for the macro-micro correlation of anti-salt-freezing mechanical properties of geopolymer grouting materials, and achieve high-precision prediction of small samples through TabPFN model.

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Abstract

The application discloses a kind of based on TabPFN model's solid waste base polymer grouting material salt freeze mechanical property explainable prediction and evaluation method, including obtaining the basic parameters and deterioration environment parameters of solid waste base polymer grouting material to be evaluated;Obtain the pore structure characteristic parameter of the solid waste base polymer grouting material;Characteristic screening and integration are carried out to the obtained parameter, and input characteristic vector is constructed;The input characteristic vector is input into the TabPFN prediction model pre-trained, and the salt freeze mechanical property prediction value after output;Through explainable analysis module, output key influence variable and its contribution degree, and output durability grade or performance optimization suggestion in combination with preset evaluation criterion.The key pore structure variable and small sample pre-trained TabPFN model are introduced, and the salt freeze mechanical property explainable prediction framework of macro-micro correlation of grouting material is constructed, which provides a new method for durability evaluation, performance prediction and pore structure optimization design of solid waste base polymer grouting material in high-cold saline area.
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