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优化住房类型分布,以减少资源有限的环境中的多危险损失
Arvin Hadlos1, Aaron Opdyke2, S Ali Hadigheh2
1School of Civil Engineering, The University of Sydney, Sydney, NSW, Australia. arvin.hadlos@sydney.edu.au.
Communications engineering
|October 7, 2025
概括
这项研究表明,优化住房类型可以减少多危险灾害损失. 过渡到更好的建筑材料包括不仅仅是减少经济损失的权衡,包括社会因素.
科学领域:
- 减少灾害风险 减少灾害风险
- 结构工程是结构工程.
- 城市规划是城市规划.
背景情况:
- 灾害损失估计对于降低风险至关重要,但往往忽视了建筑库存中的多危险损失权衡.
- 现有的模型很少整合不同的住房类型,具有不同的危险影响.
研究的目的:
- 开发一种方法来模拟在多危险场景下,住房库存的直接经济损失.
- 通过分析不同的住房类型分布来探索潜在的损失减少.
- 确定最佳的建筑结构配置,以最大限度地减少风力和地震损失.
主要方法:
- 采用多目标优化来建模风力和地震损失.
- 蒙特卡洛模拟用于分析11,628个住房库存场景.
- 在不同的危险强度值下确定了帕雷托最佳解决方案,并在社会技术框架内进行分析.
主要成果:
- 目前的住房库存可以通过优化轻量化和钢筋混凝土类型的组合来实现较低的多危险损失.
- 过渡到最佳库存需要进行权衡,包括家庭风险感知等社会技术因素,而不仅仅是减少风力地震损失.
- 该研究确定了房屋库分布的特定帕雷托最佳解决方案.
结论:
- 优化住房类型分布是提高抵御多危险影响的关键.
- 将社会技术考虑与工程方法相结合,对于有效减少灾害风险至关重要.
- 开发的方法简化了损失估计,以指导对多种危险环境的更安全,集体建筑实践.
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