PFI-RP: Dynamically-Adaptive, Smart Morphing Building Facades for Wind Hazard Mitigation

创新研究伙伴关系（PFI-RP）项目的更广泛影响/商业潜力是一种减轻高强度、多向和湍流风事件对建筑结构影响的方法。具体来说，我们将介绍建筑围护结构设计的新技术选择，帮助工程师、承包商、保险公司和业主实现安全和经济的建筑。构成这一创新支柱的网络物理包可能会加速研究向实践的过渡。这一发展也可能解决易受极端风事件影响的地理区域城市发展面临的关键挑战。特别是，这种创新具有独特的潜力，可以整合到不断发展的适应性建筑立面行业中，以产生能源和节省成本。该PFI-RP项目的发展预计可扩展，并可被其他基础设施部门采用，其中风力阻力至关重要。这些额外的市场包括工业设施、桥梁、风力涡轮机和航空航天结构。拟议的项目旨在开发一个网络物理包，为配备智能变形立面的建筑围护结构的分析和设计提供端到端的方法。为了响应建筑行业的市场需求，该套件包括风-结构相互作用模拟所需的所有模块，包括立面孔隙度和粗糙度分析，以及传感和驱动设计。为了提供一个整体的方案，主要研究目标有三个：(1)为各种建筑形状和立面设计特征建立多保真度的代理模型；(2)开发高性能计算和机器学习技术，实现建筑围护结构构件的近实时智能感知、计算和驱动；(3)转变基于性能的风设计策略，以实现一系列性能目标，包括降低风致载荷，减小构件尺寸和增加房地产面积。预计该项目的成果将解决有关引进技术规模扩大的基本问题和实际问题。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Partnerships for Innovation - Research Partnership (PFI-RP) project is an approach to mitigate the effects of high-intensity, multi-directional, and turbulent wind events on building structures. Specifically, new technology-enabled choices for the design of building envelopes will be introduced, helping engineers, contractors, insurers, and owners achieve safe and economic buildings. The cyber-physical package that will form the backbone of this innovation may accelerate the transition of research to practice. This development may also address key challenges facing urban developments across geographic regions that are vulnerable to extreme wind events. In particular, this innovation has a unique potential to be integrated into the growing industry of adaptive building facades for energy generation and cost saving purposes. The developments resulting from this PFI-RP project are anticipated to be scalable and adoptable by other infrastructure sectors where wind resistance is critical. Among these additional markets are industrial facilities, bridges, wind turbines, and aerospace structures.The proposed project seeks to develop a cyber-physical package providing an end-to-end approach for the analysis and design of building envelopes equipped with smart morphing facades. In response to the building industry market needs, this package includes all the modules required for wind-structure interaction simulations including facade porosity and roughness analyses, as well as sensing and actuation designs. To deliver a holistic package, the main research objectives are threefold: (1) establishing multi-fidelity surrogate models for a variety of building shapes and facade design characteristics; (2) developing high-performance computing and machine learning techniques to enable the intelligent sensing, computing, and actuation of building envelope components in near real-time; and (3) transforming performance-based wind design strategies for a suite of performance objectives, including lowering wind-induced loads, reducing member sizes, and increasing real-estate areas. The project’s outcome is anticipated to address fundamental questions and practical issues regarding the scale-up of the introduced technology.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.