Collaborative Research: Converging Design Methodology: Multi-objective Optimization of Resilient Structural Spines

合作研究：融合设计方法：弹性结构脊柱的多目标优化

• 批准号: 2120684
• 负责人: Nathan Brown
• 金额: $ 25.99万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120684&HistoricalAwards=false
• 关键词: Collaborative; Research; Converging; Design; Methodology

Post-earthquake reconstruction efforts in New Zealand, Chile, and Japan are motivating the development of novel, low damage lateral force resisting systems to minimize social disruptions and property damage. These efforts, combined with earthquake scenarios highlighting seismic risks to cities in the United States, have led U.S. agencies to focus on increasing urban resilience against future extreme events by defining performance goals in terms of post-earthquake re-occupancy and functional recovery metrics. In parallel, non-profit organizations are driving the use of more sustainable building materials and construction practices. This project will create a new design paradigm within structural engineering that employs multi-objective optimization to maximize post-earthquake functional recovery while integrating sustainable building practices into the design process. The new design paradigm will be applied to the design and construction of resilient mass timber structural systems. The novelty of mass timber construction and limited availability of codes and standards make it uniquely positioned to pioneer innovative structural systems and new design paradigms, such as incorporating multi-objective optimization. The unique design paradigm developed in this project is called "converging design," as the methodology will be better able to converge across competing life-safety, post-earthquake functional recovery, and environmental sustainability objectives. The research will be complemented by an outreach program that includes training of the next generation of industry and academic leaders and fosters increased partnerships among academia, industry, building code officials, and government agencies. In addition, the research will lead to several undergraduate student experiences in STEM through an institutional Research and Extension Experiences for Undergraduate Student program and collaborations with NSF-funded Research Experiences for Undergraduates sites. This project will support the National Science Foundation (NSF) role in the National Earthquake Hazards Reduction Program. The goal of this project is to integrate functionality-based design and multi-objective optimization into a single converging design paradigm that will support resilient, sustainable seismic solutions for lateral force resisting systems. The project will integrate existing and new data from laboratory and numerical work to (1) define functional recovery and sustainability metrics, including quantification of uncertainty, for the design of innovative lateral force resisting systems employing mass timber spine solutions; (2) create and implement a multi-objective optimization converging seismic design methodology that considers resiliency and sustainability goals; and (3) develop optimized seismic lateral force resisting systems, whose performance is validated through a six-story full-scale building test program at the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) outdoor shake table at the University of California, San Diego (UCSD). The six-story specimen re-uses an existing ten-story shake table specimen that will be tested on the UCSD shake table in 2021/2022. A series of expert elicitation interviews and participatory workshops will support the definition of resiliency metrics, including time to functionality and sustainability metrics (e.g., embodied carbon) to meet the goal of the research. Educational modules for industry and higher education will be created. An industry working group will promote increased collaboration and foster innovation among academia, industry, and government agencies. This project will lead to new seismic design possibilities and advance knowledge of the functionality and sustainability of mass timber structures based on decades of research in seismic design, advances in high-performance computing that support optimization in design, and functional-recovery modeling, including sustainability goals. Project data will be archived and made publicly available in the NHERI Data Depot (https://www.designsafe-ci.org).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.

新西兰，智利和日本的地震后重建工作正在激励新型，低损害的横向抵抗系统的发展，以最大程度地减少社会干扰和财产损失。这些努力，加上地震景象，强调了美国城市的地震风险，这使美国机构通过根据地球后的重新占领和功能恢复指标来定义绩效目标，从而使美国机构专注于提高对未来极端事件的城市韧性。同时，非营利组织正在推动使用更可持续的建筑材料和建筑实践的使用。该项目将在结构工程中创建一个新的设计范式，该范式采用多目标优化来最大化地球后功能恢复，同时将可持续性建筑实践整合到设计过程中。新的设计范式将应用于弹性质量木结构系统的设计和构建。大规模木材结构的新颖性以及代码和标准的有限可用性使其独特地定位于先锋创新的结构系统和新的设计范式，例如结合多目标优化。该项目中开发的独特设计范式称为“融合设计”，因为该方法将更好地融合竞争的生命安全，地球后功能恢复和环境可持续性目标。这项研究将得到一项宣传计划的补充，该计划包括对下一代行业和学术领导者的培训，并促进了学术界，工业，建筑法规官员和政府机构之间的伙伴关系增加。此外，这项研究将通过针对本科生计划的机构研究和扩展经验以及与NSF资助的本科生网站的研究经验，从而为STEM的几种本科生体验。该项目将支持国家科学基金会（NSF）在国家地震危害计划中的角色。 该项目的目的是将基于功能的设计和多目标优化整合到单个收敛的设计范式中，该范式将支持抵抗横向强力系统的弹性，可持续的地震解决方案。该项目将将实验室和数值工作的现有数据和新数据集成到（1）定义功能恢复和可持续性指标，包括量化不确定性，用于设计使用大量木质脊柱解决方案的创新侧向力抗性系统的设计； （2）创建和实施一种多目标优化融合地震设计方法，以考虑弹性和可持续性目标； （3）开发了优化的地震横向抵抗系统，其性能通过NSF支持的自然危害工程研究基础设施（NHERI）在加利福尼亚大学圣地亚哥分校（UCSD）的六层全尺度建筑测试计划进行了验证。六层楼的标本重新使用了现有的十层摇桌标本，该标本将在2021/2022的UCSD摇桌上进行测试。一系列的专家启发访谈和参与式研讨会将支持弹性指标的定义，包括功能性和可持续性指标（例如，体现的碳）来满足研究的目标。将创建针对行业和高等教育的教育模块。一个行业工作组将促进学术界，工业和政府机构之间的合作和促进创新。该项目将导致新的地震设计可能性，并根据地震设计的数十年研究，支持设计优化的高性能计算的进步以及功能回收建模（包括可持续性目标），提高了大规模木材结构的功能和可持续性知识。项目数据将在NHERI Data Depot（https://www.designsafe-ci.org）中进行存档，并公开可用。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准来通过评估来获得支持的。

项目成果

Comparing optimization approaches in the direct displacement-based design of tall mass timber lateral systems

高层木横向系统基于直接位移设计的优化方法比较

• 发表时间: 2023
• 期刊: ASCE International Conference on Computing in Civil Engineering
• 作者: Zargar, Seyed Hossein;Uarac, Patricio;Barbosa, Andre R.;Sinha, Arijit;Simpson, Barbara;van de Lindt, John W.;Brown, Nathan C.
• 通讯作者: Brown, Nathan C.