通过机器学习模拟由聚碳酸废弃物灰制成的混凝土的机械性能
S Sathvik1, Rakesh Kumar2, Nestor Ulloa3
1Department of Civil Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, 560111, India.
Scientific reports
|May 21, 2024
概括
这项研究探讨了在混凝土中使用聚碳酸废弃物灰,发现它增强了机械性能并减少了对环境的影响. 机器学习模型准确地预测了这种可持续添加剂的混凝土强度.
科学领域:
- 建筑材料科学 建筑材料科学
- 环境工程 环境工程
- 废物管理 废物管理
背景情况:
- 印度的水泥行业是世界上第二大,产生大量的二氧化碳排放.
- 聚碳酸废物,特别是来自医疗保健设施的废物,对环境处置构成了重大挑战.
- 在建筑中利用废弃材料提供了一种可持续的解决方案,以减少污染和保护自然资源.
研究的目的:
- 研究将聚碳酸废弃物灰作为混凝土混合物的部分水泥替代品的可行性.
- 评估不同聚碳酸废弃物灰百分比对混凝土机械性能的影响.
- 使用机器学习技术开发和验证混凝土强度的预测模型.
主要方法:
- 混凝土混合物中含有5%,10%,15%,20%和25%的聚碳酸废弃物灰,以水泥的重量计算.
- 机械性能包括压力强度,分裂拉伸强度和屈曲强度在7,14和28天进行了测试.
- 使用最小绝对收缩和选择运算符 (LASSO) 回归和决策树模型来模拟强度特征.
主要成果:
- 与聚碳酸废弃物灰混凝土混合物比对照混合物表现出优越的机械性能.
- 水的吸收率低于标准混凝土,在酸固化下减重是最小的.
- 决策树模型显示了分裂拉伸强度 (R2=0.879),屈曲强度 (R2=0.912) 和压力强度 (R2=0.854) 的高预测精度.
结论:
- 聚碳酸废灰是一种可行的补充材料,可以提高混凝土的性能.
- 在混凝土中使用聚碳酸废弃物灰有助于减少污染和经济效益.
- 机器学习,特别是决策树建模,为预测可持续混凝土配方的强度提供了有效的工具.
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