使用基因表达编程预测活性混凝土的质性质
Hisham Alabduljabbar1, Irfan Ullah2, Muhammad Faisal Javed3
1Department of Civil Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia.
Scientific reports
|December 23, 2025
概括
基因表达编程 (GEP) 准确地预测活性混凝土 (AAC) 的新鲜状态属性,包括衰退和产量压力. 这种方法简化了混合设计,并减少了改善材料性能的实验需求.
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.
- 计算智能是一种计算智能.
背景情况:
- 准确预测新鲜状态属性对于活性混凝土 (AAC) 混合物的均性和性能至关重要.
- 传统的财产预测方法往往耗时且资源密集.
- 基因表达编程 (GEP) 为建模复杂物质关系提供了一种灵活和可解释的替代方案.
研究的目的:
- 使用GEP.开发一个强大的预测模型,用于AAC的新鲜状态属性.
- 为工程设计和实际应用建立明确的数学方程.
- 创建一个用户友好的图形界面 (GUI) 简化混合设计和快速预测.
主要方法:
- 用基因表达编程 (GEP) 来建模AAC混合物成分和新鲜状态特性之间的关系.
- 该模型预测了slump (SL),动态收益应力 (DYS),静态收益应力 (SYS) 和塑料粘度 (PV).
- 使用确定系数 (R2),根平均平方误差 (RMSE) 和明确方程导出来评估性能.
主要成果:
- 对于所有预测属性,GEP模型实现了高精度:SL (R2=0.979,RMSE=1.183),SYS (R2=0.960,RMSE=3.293),DYS (R2=0.962,RMSE=0.161) 和PV (R2=0.962,RMSE=5.266),这些属性均为预测属性.
- 为了实际的工程用途,生成了明确的GEP衍生方程.
- 开发了一个GUI,以促进即时预测和简化混合设计过程.
结论:
- GEP提供了一种强大而准确的工具,用于预测AAC的新鲜状态属性.
- 开发的GEP模型和GUI显著减少了对广泛物理实验的需求.
- 这种方法通过提高混合设计效率和对材料性能的控制来促进AAC的更广泛采用.
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