Collaborative Research: Merging Human Creativity with Computational Intelligence for the Design of Next Generation Responsive Architecture

协作研究：将人类创造力与计算智能相结合，设计下一代响应式架构

• 批准号: 2329759
• 负责人: Dale Clifford
• 金额: $ 23.7万
• 依托单位: California Polytechnic State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2027-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2329759&HistoricalAwards=false
• 关键词: Collaborative; Research; Merging; Human; Creativity; Collaborative; Research; Merging; Human; Creativity

This project will create a process combining the creativity and experience of human designers with computational intelligence to increase the novelty and effectiveness of designs for environmentally responsive building technologies. Building operations account for a large portion of infrastructure energy footprint. Adaptive building components, such as origami-inspired adaptive facades, are a potential pathway to reduce this cost, by enabling building exteriors to be reconfigured based on light or thermal conditions. Yet, a major challenge holding these concepts back is their inability to be systematically designed. Moreover, there is a critical need to provide early and interactive design feedback to better facilitate more useful, nuanced, and ecologically responsive ideas. This research will create tools that promote creativity, knowledge sharing, and collective workflows that lead to effective technology in all regards, from aesthetics to function. The work will simultaneously create a new educational track for architecture and engineering students to learn about and test their ideas for adaptive building concepts. This educational effort is fully integrated into the research by providing a testbed and the critical dataset to inform the computational tools. Thus, this work will create new design processes for origami-inspired structures and seed the upcoming generations of designers with the skills and penchant to explore adaptive structure concepts. The overall goal of this work is to establish a new strategy to integrate architectural design processes and human-derived designs with physics-guided machine learning and computational design optimization, and to evaluate this strategy on the application of origami-inspired responsive architecture. The integrated computational-experimental research effort includes three thrusts: 1) establish a coupled human-computer design strategy for component-level origami-inspired adaptive structures to simultaneously meet multiple external environmental interaction goals and intrinsic structural requirements; 2) create a computational framework to evaluate the performance of origami-inspired adaptive structures, and augment their design based on human input and computer guidance; and 3) establish a framework for the introduction of new structural concepts in an architectural design process and application of this framework to identify emergent origami-inspired concepts for adaptive structures. The project will establish an overarching framework that accelerates and widens innovation through a novel combination of computational tools, which not only connect to the user, but can also augment human creativity. In addition to the creation of new computational toolsets, this work will generate unique datasets for leveraging a spectrum of machine learning tools and discover and validate new folding patterns with uniquely beneficial performance.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.

该项目将创建一个过程，将人类设计师的创造力和经验与计算智能相结合，以提高设计对环境响应式建筑技术的新颖性和有效性。 建筑物运营占基础设施能源足迹的大部分。 自适应建筑组件（例如折纸启发的自适应外墙）是通过使建筑物的外观根据光或热条件重新配置的，是降低这一成本的潜在途径。 然而，将这些概念退缩的一个重大挑战是它们无法系统地设计。 此外，迫切需要提供早期和互动的设计反馈，以更好地促进更有用，细微和生态响应的想法。 这项研究将创建工具，以促进创造力，知识共享和集体工作流程，从而导致从美学到运作的所有方面有效的技术。 这项工作将同时为建筑和工程专业的学生创建新的教育轨道，以学习和测试他们的自适应建筑概念的想法。 通过提供一个测试台和关键数据集以告知计算工具，将这种教育工作完全融入了研究中。 因此，这项工作将为折纸启发的结构创造新的设计过程，并以探索自适应结构概念的技能和偏爱来播种后代的设计师。 这项工作的总体目标是建立一种新的策略，以将建筑设计过程和人类衍生的设计与物理指导的机器学习和计算设计优化整合在一起，并评估该策略在折纸启发的响应式体系结构上的应用中。综合计算实验研究工作包括三个推力：1）建立一个耦合的人类计算机设计策略，用于组件级折纸启发的自适应结构，以同时满足多个外部环境互动目标和内在的结构要求； 2）创建一个计算框架，以评估折纸启发的自适应结构的性能，并根据人类的输入和计算机指导来增强其设计； 3）建立一个在建筑设计过程中引入新结构概念的框架，并应用此框架，以确定自适应结构的新兴折纸启发的概念。 该项目将建立一个总体框架，该框架通过新颖的计算工具组合加速和扩大创新，该工具不仅可以与用户联系起来，而且还可以增强人类的创造力。除了创建新的计算工具集外，这项工作还将生成独特的数据集，以利用机器学习工具的范围，并以独特的有益性能来发现和验证新的折叠模式。本奖奖反映了NSF的法定任务，并被认为是通过使用该基金会的知识分子和更广泛的影响来评估的支持，并被认为是值得的。