基于Box-Behnken和NSGA-II的混合纤维增强ECC的多目标优化设计
Xiao Wang1, Haowen Jing1, Hongkui Chen2
1School of Materials Science and Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Materials (Basel, Switzerland)
|November 13, 2025
概括
这项研究介绍了混合纤维增强工程水泥复合材料 (ECCs),使用超高分子量聚乙烯 (UHMWPE) 和玄武岩纤维 (BFs) 提高性能. 通过先进的算法实现了最佳的混合设计,产生了卓越的强度和柔性.
科学领域:
- 材料科学 材料科学 材料科学
- 土木工程 土木工程是指土木工程.
- 复合材料 复合材料 复合材料
背景情况:
- 工程水泥复合材料 (ECC) 对于高性能建筑至关重要.
- 提高ECC的有效性,精度,低碳足迹和高性能是一个持续的挑战.
- 混合纤维增强为改善材料性能提供了一个有前途的方法.
研究的目的:
- 开发使用超高分子量聚乙烯 (UHMWPE) 和玄武岩纤维 (BFs) 的新型混合纤维增强ECC.
- 研究水与粘合剂比率和纤维含量对机械性能的影响.
- 为了实现ECC混合物比例的多目标优化,以提高强度和性.
主要方法:
- 使用响应表面方法 (RSM) 采用盒式Behnken设计模型.
- 使用差异分析 (ANOVA) 来验证回归模型.
- 应用了NSGA-II算法和TOPSIS方法用于多目标优化.
主要成果:
- UHMWPE和BF显示出显著的正面混合效应.
- 重要因素的顺序:UHMWPE含量> BF含量> 水粘合比.
- 达到最佳的混合比例:水与粘合剂的比率为0.21,UHMWPE为1.51%,BF为0.85%.
结论:
- 开发的混合纤维增强ECC提供了增强的性能.
- 回归模型显示了高的适配精度,通过ANOVA进行了验证.
- 为优化ECC混合设计以满足各种要求提供了有价值的参考.
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