对于COVID-19和未来的病原体使用随机多剂模拟的生成设计
Bokyung Lee1, Damon Lau2, Jeremy P M Mogk1
1Autodesk Research, 661 University Ave, West Tower, Ste. 200, Toronto, M5G 1MA, ON, Canada.
概括
本研究介绍了一种使用随机多剂模拟来减少建筑物中病原体传播的生成设计工作流. 该方法在办公室案例研究中显示,预测的病毒传播减少了10-20%.
科学领域:
- 计算流行病学计算流行病学
- 建筑设计是指建筑设计的设计.
- 建筑性能模拟的建筑性能模拟
背景情况:
- 在共享的室内环境中,COVID-19和未来的病原体构成重大风险.
- 传统的建筑设计方法往往不能充分解决病原体传播风险.
- 需要先进的工具来主动缓解空气和表面传播疾病的传播.
研究的目的:
- 开发和评估一个生成的设计工作流程,以创建更安全的建筑布局.
- 整合随机多剂模拟来预测病原体传播.
- 帮助建筑设计师减少传染病传播的风险.
主要方法:
- 创建了一个生成设计工作流程,整合了随机多代理模拟.
- 模拟模型可以模拟乘客的活动,移动以及病毒通过空气和表面传播.
- 参数优化实验平衡了计算成本和模拟精度.
- 工作流应用于办公空间案例研究.
主要成果:
- 与基线布局相比,生成设计减少了10-20%的预测病毒传播.
- 随机多代理模拟,虽然计算密集,但产生了统计可靠的结果.
- 定性分析确定了可能进一步降低传播风险的设计模式.
结论:
- 随机多代理模拟是一种可行的,尽管在计算上要求高的方法,用于生成更安全的建筑设计.
- 拟议的工作流提供了一种新的方法,用于积极减少对病原体的风险.
- 研究结果表明,通过知情设计,可以显著改善室内健康和安全.
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