基于响应面法的纤维混凝土多目标优化研究

陈鹏; 王士瑞; 许海燕; 魏伟; 高伟; 黄冰

doi:10.3724/j.gyjzG25051101

基于响应面法的纤维混凝土多目标优化研究

doi: 10.3724/j.gyjzG25051101

陈鹏¹,
王士瑞^1, ,,
许海燕¹,
魏伟¹,
高伟¹,
黄冰²

1. 山东中兴建安建工有限公司, 山东枣庄 277099;
2. 济南大学自动化与电气工程学院, 济南 250022

基金项目:

国家重点研发计划(2022YFE0208200)。

详细信息

作者简介:
陈鹏,高级工程师,主要从事混凝土和新型建筑材料研究,1164098057@qq.com。

通讯作者:
王士瑞,工程师,主要从事混凝土和新型建筑材料研究,17853532881@163.com。

计量
- 文章访问数: 31
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- 被引次数: 0
出版历程
- 收稿日期: 2025-05-11
- 网络出版日期: 2025-10-24

Research on Multi-Objective Optimization of Fiber-Reinforced Concrete Based on Response Surface Method

1. Shandong Zhongxing Jian'an Construction Engineering Co., Ltd., Zaozhuang 277099, China;
2. School of Electrical Engineering, University of Jinan, Jinan 250022, China

摘要

摘要: 为实现纤维混凝土的配合比多目标优化设计,采用响应面法探究聚丙烯纤维、硅灰和微珠掺量及其交互作用对纤维混凝土工作性能和力学性能的影响规律,开展多目标优化分析,确定最优配合比。结果表明,所建立的回归模型具有显著的拟合精度和可信性。各因素交互作用中,对纤维混凝土坍落扩展度、28 d抗压强度和抗折强度影响最为显著的分别是硅灰和微珠、聚丙烯纤维和硅灰、聚丙烯纤维和微珠的交互作用。多目标优化分析可知,纤维混凝土最优配合比参数为聚丙烯纤维掺量1.62%、硅灰掺量8.56%、微珠掺量10%,此时坍落扩展度、28 d抗压强度和抗折强度分别为655 mm、64.1 MPa和13.4 MPa,符合目标响应值要求,验证了响应面法用于矿用混凝土材料多目标优化的可行性。
- 响应面法 /
- 纤维混凝土 /
- 工作性能 /
- 力学性能 /
- 配合比优化
Abstract: In order to realize the multi-objective optimal design of the mix proportion for fiber-reinforced concrete, this paper adopted the response surface method to investigate the effects of the contents of polypropylene fiber, silica fume, and microbeads, as well as their interactions, on the workability and mechanical properties of fiber-reinforced concrete. Furthermore, it carried out multi-objective optimization analysis to determine the optimal mix proportion. The results showed that the regression model established in this paper exhibited remarkable fitting accuracy and credibility. Among the interactions of various factors, the most significant effects on slump flow, 28-day compressive strength, and flexural strength of fiber-reinforced concrete were attributed to the interactions between silica fume and microbeads, polypropylene fiber and silica fume, and polypropylene fiber and microbeads, respectively. The multi-objective optimization analysis revealed that the optimal mix proportion parameters for fiber-reinforced concrete were as follows: polypropylene fiber content of 1.62%, silica fume content of 8.56%, and microbead content of 10%. Under these conditions, the slump flow, 28-day compressive strength, and flexural strength reached 655 mm, 64.1 MPa, and 13.4 MPa, respectively, meeting the target response requirements. This study verifies the feasibility of using the response surface methodology for multi-objective optimization of mining concrete materials.
- response surface method /
- fiber-reinforced concrete /
- workability /
- mechanical property /
- mix proportion optimization

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