一项关于废弃PCB纤维钢筋混凝土的研究,含有或不含有来自电子废弃物的二氧化烟雾
M Vishnu Priyan1, R Annadurai2, George Uwadiegwu Alaneme3,4
1Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603203, Tamil Nadu, India. vm3188@srmist.edu.in.
Scientific reports
|December 20, 2023
概括
回收的电子废物,特别是印刷电路板 (PCB) 纤维,显著增强了混凝土的性能.
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.
- 环境工程 环境工程
背景情况:
- 电子废物,特别是废弃的印刷电路板 (PCB),构成了处理的重大挑战.
- 将废弃材料纳入建筑可以提供可持续的解决方案并减少对环境的影响.
- 印刷电路板 (PCB) 纤维可能被用作混凝土复合材料的钢筋.
研究的目的:
- 评估用废弃印刷电路板 (PCB) 纤维增强的混凝土的机械性能.
- 研究不同比例的PCB纤维 (1-5%的水泥重量) 对混凝土特性的影响.
- 评估二氧化烟雾 (SF) 作为PCB纤维增强混凝土中部分水泥替代物的作用.
主要方法:
- 用PCB纤维制备混凝土混合物,其质为1-5%.
- 烟 (SF) 在一些混合物中被用作12%重量的水泥替代品.
- 在28天的固化期后,测试了新鲜和硬化混凝土的性能.
- 开发了一个人工神经网络 (ANN) 模型来预测机械性能.
主要成果:
- 发现PCB纤维的最佳比例为PCB纤维增强混凝土和烟改性PCB纤维增强混凝土的5%.
- 添加PCB纤维和烟显著提高了混凝土的机械强度.
- 该ANN模型准确地预测了机械性能,实现了R平方 (R2) 值大于0.99.
结论:
- 废弃的印刷电路板 (PCB) 纤维可以有效地用于提高混凝土的机械强度.
- 结合PCB纤维和二氧化烟雾的组合显示出开发高强度混凝土的前景.
- 人工神经网络 (ANN) 建模提供了一种可靠的方法来预测这种复合材料的性能.
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