飞灰地质聚合物混凝土的压力强度预测和低碳优化基于大数据和集体学习
Peiling Jiang1, Diansheng Zhao2, Cheng Jin3
1Zhejiang Tongji Vocational College of Science and Technology, Zhejiang, China.
PloS one
|September 12, 2024
概括
飞灰地质聚合物混凝土 (FAGC) 为波特兰水泥混凝土 (PCC) 提供了一个可持续的替代方案,显著减少二氧化碳排放. 这项研究开发了FAGC强度的预测模型和低碳混合物设计的优化方法.
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.
- 环境科学 环境科学
背景情况:
- 波特兰水泥混凝土 (PCC) 生产是人类二氧化碳排放的重要来源.
- 飞灰地质聚合物混凝土 (FAGC) 是一种可行的低碳替代传统混凝土.
- 为FAGC开发精确的预测模型和优化混合物设计对于可持续建筑至关重要.
研究的目的:
- 为FAGC建立一个强大的压力强度预测模型.
- 为FAGC开发一种最佳的混合物设计方法,尽量减少二氧化碳排放,同时达到目标强度.
- 为工程师提供可持续混凝土设计的工具.
主要方法:
- 编制了一套包含1136个观察结果的综合数据集,包括飞灰特征,混合物比例,固化参数和样本类型.
- 多项式回归,遗传编程和集合学习被用来开发强度预测模型.
- 强度模型与基于生命周期评估的二氧化碳排放模型集成,以制定优化计划.
主要成果:
- 整体学习模型表现出高精度,在验证集上,RMSE为1.81 MPa,R2为0.93.
- 与传统方法相比,最佳的FAGC混合物设计计划实现了50MPa混凝土的CO2排放量减少16.7%.
- 与PCC相比,FAGC显著减少了60.3%的二氧化碳排放.
结论:
- 开发的集体学习模型准确地预测了FAGC的压力强度.
- 综合优化程序有效设计低碳FAGC混合物.
- 这项研究为工程师提供了宝贵的工具,以设计可持续的混凝土,减少对环境的影响.
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