基于生命周期评估和人工智能的可持续水泥-岩改进砂的多目标优化
Sepideh Nasrollahpour1, Amin Tanhadoust2, Satinder Kaur Brar1
1Department of Civil Engineering, Lassonde School of Engineering, York University, Toronto, Ontario, Canada.
优化使用30-45%的硫化改进砂增强强度,降低成本,并最大限度地减少对环境的影响. 这种可持续的方法为土木工程应用提供了有前途的替代方案.
科学领域:
- 土木工程
- 材料科学
- 环境科学
背景情况:
- 石改进的沙子提供了多方面的土木工程应用.
- 之前的研究缺乏对机械强度,成本和环境影响的优化.
- 这项研究通过提出多目标优化方法来弥补这一缺口.
研究的目的:
- 为了优化水泥-石改良砂的生产.
- 确定最大限度地提高机械强度,最大限度地降低成本,减少对环境的影响.
- 填补这种材料有效生产的研究缺口.
主要方法:
- 使用无限制的压缩测试来评估不同剂量的水泥和热带石的水泥沙样本.
- 进行了生命周期评估 (LCA),以分析热带石部分替代的环境影响.
- 采用反向传播神经网络 (BPNN) 来进行强度预测和基于自适应几何估计的多目标进化算法 (AGE-MOEA) 来进行优化.
主要成果:
- 对于提高强度,降低成本和环境效益而言,最优的热带石范围为30-45%.
- 增加至25-30%的热替代物提高了最终强度;较高的百分比降低了强度.
- BPNN准确地预测了不受限制的压力强度,从而实现了AGE-MOEA优化.
结论:
- 石在砂应用中是水泥的可行替代品,具有相似或更高的机械强度.
- 在土壤改善项目中,部分用石取代水泥是有利于环境的.
- 开发的优化方法为可持续材料生产提供了途径.
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