SBIR Phase I: A platform for simulating the combined effect of human behavior and environment on airborne infectious spread (COVID-19)

这个小型企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是最大限度地减少传染病（如COVID-19）的感染。该项目推进了一个基于云的平台，用于模拟人口稠密的动态环境中的粒子流。 它将使设施管理人员和健康/安全利益相关者能够模拟室内环境中的病毒颗粒扩散，以设计和缓解程序（消毒，疏散等）。该技术可在减轻当前COVID-19疫情的持续影响方面发挥作用，并为下一次疫情做好更好的准备。这个小企业创新研究（SBIR）第一阶段项目支持设施规划和应对传染病爆发。该项目提出了一种混合计算方法，利用多尺度流体分析进行快于实时的多模态模拟。研究目标是：（1）创建一个模拟平台，可以并行化方程，并在近实时或实时执行，这将提供一种手段来模拟多模式的相互作用，在真实的建筑物，如流体流动中的污染扩散，当分析与人类的行为和流动性;（2）表征和验证模拟器的结果，通过测量粒子在多个真实的建筑场景的蔓延。预计颗粒轨迹和表面污染的模拟结果将至少与最先进的高保真计算流体动力学技术一样准确，但以真实的时间传送。该项目将提供一个环境和行为特定的模拟优化气流和设施控制，以减少空气传播的传染性transmission.This奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to minimize infection by contagious diseases, such as COVID-19. This project advances a cloud-based platform for simulating particle flow in heavily populated, dynamic environments. It will enable facility managers and health/ safety stakeholders to simulate viral particle dispersion in indoor environments for design and mitigation procedures (disinfection, evacuation, etc.). This technology can play a role in mitigating the ongoing effects of the current COVID-19 pandemic and better prepare facilities for the next pandemic. This Small Business Innovation Research (SBIR) Phase I project supports facility planning and response of infectious disease outbreaks. The project advances a hybrid computational approach to utilizing multi-scale fluid analysis for faster-than-real-time multimodal simulation. The research objectives are to: (1) create a simulation platform that can parallelize equations and perform at near real-time or real-time, which will provide a means to simulate multimodal interactions in real buildings, such as contamination spread in fluid flow, when analyzed with human behavior and mobility; (2) characterize and validate the results of the simulator by measuring particle spread in multiple real building scenarios. It is anticipated that the simulation results of particle trajectory and surface contamination will be at least as accurate as state-of-the-art high-fidelity computational fluid dynamic techniques, but delivered in real time. This project will provide an environment and behavior-specific simulation essential for optimizing airflow and facility controls to reducing airborne infectious transmission.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.