基于人工智能的混凝土配合比研究及强度预测
|
蒋平
|
广西交通职业技术学院，广西南宁，530024
|
摘要：针对混凝土配合比设计及强度预测问题，提出了一种基于人工智能的方法。通过收集大量混凝土配合比实验数据，构建了包含水泥、水、骨料、外加剂等关键参数的数据库。采用机器学习算法建立混凝土强度预测模型，并对不同算法的预测精度进行比较分析。研究结果表明，人工智能模型能够有效预测混凝土强度，预测误差控制在合理范围内，与传统经验公式相比，该方法具有更高的准确性和适应性。此外，本文还研究了不同配合比参数对混凝土强度的影响规律，为优化配合比设计提供了参考。
关健词：人工智能；混凝土配合比；强度预测；机器学习 |
Application of Artificial Intelligence in Concrete Mix Proportion Optimization and Strength Prediction
|
Ping Jiang
Guangxi Vocational And Technical College Of Communications，Nanning Guangxi 530024 , China
|
Abstract：This paper proposes an artificial intelligence-based method for concrete mix proportion design and strength prediction. By collecting a large amount of experimental data on concrete mix proportions, a database containing key parameters such as cement, water, aggregate, and admixtures was constructed. Machine learning algorithms were used to establish concrete strength prediction models, and the prediction accuracy of different algorithms was compared and analyzed. The research results show that the artificial intelligence model can effectively predict concrete strength, with prediction errors controlled within a reasonable range. Compared with traditional empirical formulas, this method has higher accuracy and adaptability, and can provide a scientific basis for concrete engineering practice. In addition, this paper also explores the influence of different mix proportion parameters on concrete strength, providing a reference for optimizing mix proportion design.
Keywords : Artificial Intelligence, Concrete Mix Design, Strength Prediction, Machine Learning
参考文献
[1] 王宏乾,顾超,徐冉.基于人工智能视觉算法的快递包裹结算重量偏差风险防控[J]. 物流技术与应用,2025,36(2):209-211.
[2] 郑亮. 以量化FOF 为业务特色的创新型主动券商资管模式[J].金融客,2024(4):72-76.
[3] 柳高杰.基于WT-WOA-LSTM 模型的空气质量预测研究[D].江西财经大学.
[4] 牟海鹏,李志燕,马善磊.基于人工智能的采煤机智能化优化控制系统研究[J].内蒙古煤炭经济,2025(5):168-174.
[5] 吴浩.基于AI 技术的警务战术模拟训练方法研究[J].混凝土与水泥制品,2025(2):13-16. |
|
|
 |
论文收录证明 / 文献检索报告
Document Retrieval Certificate / Proof of Publication Indexing
作者贡献声明 / 贡献确认书
Author Contribution Statement / Certificate of Authorship Contribution
同行评审报告 / 评审意见
Peer Review Report / Peer Review Comments
利益冲突
Conflict of Interest
作者声明不存在任何利益冲突。
The author declares no conflict of interest.
|
|
