预制组件组合解决方案的多目标优化和评估方法使用NSGA-II和模拟化优化投影追踪方法
Qun Wang1, Xizhen Xu2,3, Xiaoxin Ding4
1School of Construction Engineering, Shenzhen Polytechnic University, Shenzhen, 518055, China.
Scientific reports
|July 19, 2024
概括
这项研究优化了预制建筑元件的选择,以减少成本,项目延迟和碳排放. 拟议的方法发现了最佳组合,优于传统方法,并将碳排放作为一个关键因素.
科学领域:
- 建设管理建设管理.
- 可持续工程 可持续工程
- 运营研究 运营研究
背景情况:
- 预制建筑是中国可持续发展的关键,但由于组件选择不佳而面临成本超支和延迟等挑战.
- 不合理选择预制元件可以导致大量的资源浪费和项目效率低下.
研究的目的:
- 量化分析预制元件对优化质量的贡献.
- 开发预制组件组合的多目标优化方法,考虑成本,持续时间和碳排放.
- 为了确定可持续建筑的最佳预制组件组合.
主要方法:
- 使用质量函数部署-结构方程建模 (QFD-SEM) 来分析质量优化贡献率.
- 开发了一个多目标优化模型,对预制率和质量优化的限制.
- 使用非主导排序基因算法II (NSGA-II) 和模拟回火优化投影跟踪方法来解决和评估解决方案.
主要成果:
- 拟议的方法提供了优越的最佳解决方案,优于完全现场造和完全预制方法.
- 与现场造相比,持续时间减少了36.62%,碳排放减少了12.74%.
- 与完全预制相比,成本下降了4.15%,成本和持续时间/排放之间存在负相关性,与预制率有正相关性.
结论:
- 开发的优化方法有效平衡了预制建筑的成本,持续时间,碳排放和质量.
- 碳排放对预制组件组合解决方案的评估产生重大影响.
- 这些发现为优化预制建筑元件选择提供了一个强大的框架,以提高可持续性.
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