基于实验和GEP的压力强度评估,用于使用废造砂和不同水泥等级的环保砂
Sahar Mahdinia1, Mohammadreza Tavakkolizadeh2, Amir R Masoodi3
1Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Scientific reports
|November 5, 2025
概括
这项研究表明,在预测模型中将废造砂 (WFS) 与水泥强度等级 (CSC) 结合起来,可以显著提高预测砂压力强度的准确性. 考虑这两个因素一起是优化可持续建筑材料的关键.
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.
- 可持续建筑 可持续建筑
背景情况:
- 对可持续建筑材料的日益增长的需求需要探索废砂 (WFS) 等替代品.
- 水泥强度等级 (CSC) 对砂性能至关重要,但其与WFS对压力强度的联合作用尚未得到充分研究.
- 需要先进的预测技术来优化建筑中二次材料的使用.
研究的目的:
- 研究废砂 (WFS) 百分比和水泥强度等级 (CSC) 对水泥砂压力强度的相互作用影响.
- 开发和验证使用基因表达编程 (GEP) 进行预测模型,用于合并WFS和CSC的砂压力强度.
- 评估包括CSC作为输入变量对GEP模型预测准确性的影响.
主要方法:
- 通过不同的WFS百分比 (0-50%) 和CSCs (32.5-52.5 MPa) 创建了一个全面的数据集.
- 基因表达编程 (GEP) 是一种机器学习方法,用于模拟压力强度.
- 作为输入变量,GEP模型经过训练和测试,使用或不使用CSC作为输入变量,以及WFS百分比,S/C和W/C比.
主要成果:
- 将CSC作为输入变量的GEP模型实现了高预测精度 (R=0.99) 和低误差 (RMSE=2.3).
- 包括CSC显著提高了模型预测压力强度的能力.
- 结果强调了WFS和CSC对砂性能的协同影响.
结论:
- 在预测模型中考虑废造砂和水泥强度等级对于精确的砂混合设计优化至关重要.
- 这项研究支持使用可持续材料和先进的建模,以节约建筑中的资源.
- 该研究为开发高性能,环保的建筑材料提供了框架.
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