CAREER: Performance-Based Fire Design for Cold-Formed Steel Structures

职业：冷弯型钢结构基于性能的消防设计

• 批准号: 2237623
• 负责人: Thomas Gernay
• 金额: $ 57.9万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237623&HistoricalAwards=false
• 关键词: CAREER; Performance; Based; Fire; Design

This Faculty Early Career Development (CAREER) award will derive an advanced science-based framework for assessing the fire performance of cold-formed steel structures. This framework will enable more accurate modeling of the effect of fire on cold-formed steel structures that will support improved design methods for advancing national prosperity and welfare through better safety, resource efficiency, and resilience against fire. Lightweight cold-formed steel structural systems, with high strength-to-weight ratio and rapid construction speed, are widely used in nonresidential construction in the United States. Cold-formed steel structures are traditionally protected from fire based on prescriptive provisions derived from standardized testing. However, the reliance on prescriptive provisions is costly and impedes innovation toward more sustainable and affordable buildings. This research project will develop experimental and computational capabilities for the fire analysis of cold-formed steel structures that will advance understanding of the fundamental relationship between the thermal exposure and the stability and strength of these thin-walled members, to enable better structural fire designs. The research will be complemented by an educational and outreach program to engage a broad audience on the role of structural fire engineers in building resilient communities against extreme hazards. The program will include curriculum development, outreach activities, and educational videos developed in collaboration with the Maryland Institute College of Art. Data generated from this project will be made publicly available in the National Science Foundation-supported Natural Hazards Engineering Research Infrastructure Data Depot (https://www.DesignSafe-CI.org). The specific goal of the research is to enable performance-based fire design for cold-formed steel structures by developing the capability to quantify the fire behavior of the thin-walled framing members. This behavior is largely governed by the interaction between buckling failure modes and elevated temperatures. Thus, this project will include: (i) testing of cold-formed steel studs and joists using an innovative experimental method allowing a range of transient high temperature conditions, (ii) development of thermal-mechanical computational modeling strategies and creation of high-fidelity numerical benchmarks, and (iii) development of analysis-based methods for assessing the fire performance of cold-formed steel structures. The provided data and methods will answer fundamental questions about the complex fire-thermal-structural interaction in these thin-walled members. The research thus has the potential to improve understanding of the mechanics of stability-critical structures in fire and advance simulation capability for cold-formed steel structures under physically based design fires. Beyond cold-formed steel structures, the research will create a leap toward integration of structural fire within the design procedure alongside other loading cases, which supports consistent performance-based and risk-informed design, structural optimization, and multi-hazard resilience assessment.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.

该教师早期职业发展（职业）奖将获得一个基于科学的先进框架，用于评估冷形成钢结构的火灾性能。该框架将使火灾对冷形成钢结构的影响更加准确地建模，这将通过更好的安全性，资源效率和抵御火灾的弹性来支持改进的设计方法，以促进国家繁荣和福利。轻巧的冷形成钢结构系统具有高强度到重量比和快速建筑速度，在美国的非住宅建筑中广泛使用。传统上，基于标准化测试得出的规定规定，冷形成的钢结构受到防火的保护。但是，对规定规定的依赖是昂贵的，并阻碍了更可持续和负担得起的建筑物的创新。该研究项目将开发实验和计算能力，以对冷形成钢结构进行火灾分析，以提高对热暴露与这些薄壁成员的稳定性和强度之间的基本关系的了解，从而实现更好的结构火灾设计。这项研究将得到一项教育和外展计划的补充，旨在吸引广泛的受众，了解结构消防工程师在建立弹性社区的极端危害中的作用。该计划将包括与马里兰州艺术学院合作制定的课程开发，外展活动和教育视频。该项目产生的数据将在国家科学基金会支持的自然危害工程研究基础设施数据台（https://www.designsignsafe-ci.org）中公开提供。该研究的具体目标是通过开发量化薄壁框架成员的火灾行为的能力来实现基于性能的火灾设计。这种行为在很大程度上受屈曲失败模式与温度升高之间的相互作用的控制。因此，该项目将包括：（i）使用创新的实验方法对冷形成的钢螺柱和托梁进行测试，允许一系列短暂的高温条件，（ii）开发热机械计算建模策略，并创建高保真数值基准，以及（iii）基于分析的基于分析的方法来评估冷火力性能的冷效钢结构。提供的数据和方法将回答有关这些薄壁成员中复杂的火热结构互动的基本问题。因此，这项研究有可能提高对火灾中稳定性结构的力学的理解，并在基于物理的设计火灾下对冷形成钢结构的模拟能力提高模拟能力。除了冷形式的钢结构之外，该研究还将在设计程序与其他装载案例一起迈向整合结构火，该案例支持一致的基于绩效和风险的设计，结构优化以及多危险的弹性评估。这项奖项反映了NSF的法定任务，并通过评估智能委员会的智力效果，并通过评估了基金会的范围。