基于响应表面方法和NSGA-II的超高性能混凝土的优化
Zhenxing Wang1, Jiaming Wu1, Lei Su2
1School of Materials Science and Engineering, University of Jinan, Jinan 250022, China.
Materials (Basel, Switzerland)
|October 16, 2024
概括
这项研究优化了超高性能混凝土 (UHPC),分析了水与粘合剂的比率,水泥与沙子的比率以及钢纤维含量. 最佳的组合实现了高压力和屈曲强度,证明了改进的机械性能.
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.
- 混凝土技术 混凝土技术
背景情况:
- 超高性能混凝土 (UHPC) 提供卓越的机械性能,但需要精确的混合设计.
- 了解关键混合参数的相互作用对于优化UHPC性能至关重要.
- 现有的研究往往侧重于个别因素,需要进行整体调查.
研究的目的:
- 系统地研究水与粘合物比率,水泥与沙子比率以及钢纤维含量对超高压电路性能的影响.
- 建立统计模型,将混合设计参数与UHPC性能指标相关联.
- 通过使用先进的算法,优化UHPC混合比例以提高机械性能.
主要方法:
- 使用响应表面方法 (RSM) 与中央复合设计 (CCD) 进行20个混合比例.
- 进行了全面的实验测试,以评估可加工性,压力强度和屈曲强度.
- 采用蒙特卡洛采样和非主导排序基因算法-II (NSGA-II) 进行模型验证和优化.
主要成果:
- 水泥/砂比对可加工性和压力强度产生了积极的影响,同时降低了曲强度.
- 增加的水与粘合剂比率显著降低了28天的压力和屈曲强度.
- 更高的钢纤维含量提高了机械性能,尽管对可加工性产生了负面影响.
结论:
- 最佳的UHPC混合设计实现了水泥/砂比为1.12,水/粘合剂比为0.16,钢纤维含量为2.94%.
- 这种优化的混合物导致了802毫米的倾斜流量,122.7MPa的压力强度和24.3MPa的屈曲强度.
- 该研究成功验证了统计模型,并证明了UHPC的有效多目标优化.
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