课题基金 / 基金详情

PFI-TT: An artificial intelligence system for prediction of wind hazards in civil engineering applications

PFI-TT: An artificial intelligence system for prediction of wind hazards in civil engineering applications
PFI-TT:用于预测土木工程应用中的风灾的人工智能系统
批准号:
2140723
负责人:
Seymour Spence
金额:
$25.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-05-01 至 2025-04-30

项目摘要

项目成果

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中文摘要
翻译
创新伙伴关系-技术转化(PFI-TT)项目的更广泛影响/商业潜力是创造技术,利用基于性能的设计来减轻极端风暴(如飓风)对建筑物和其他结构的破坏所造成的巨大经济损失和社会破坏。基于性能的设计代表了一种模式的转变,被工程界认为是该行业的未来。为了加速极端风暴影响下建筑的这一根本性转变,该项目将利用非弹性动力系统和不确定性传播计算建模方面的最新突破,创造一种基于性能的风设计的首创技术,从而产生明确确保(1)增强建筑物和其他结构对未来风暴的弹性和(2)利益相关者对成本效益的需求的工具。这将为土木和结构工程专业带来革命性的进步,通过武装建筑和其他受极端风影响的结构的设计师,在一个新的过程中实施先进的基于性能的风设计。该项目还将培养一名博士后研究员和土木工程技术创新创业方面的本科生。该项目将创建原型技术,通过对所有危险强度下的建筑性能进行明确评估,包括在预计会造成重大损害的极限负荷水平下,同时通过可靠性系统地处理不确定性,从而实现基于先进性能的风设计。该技术将首次为设计工程师提供一种切实可行的方法,通过动态安定和/或初期倒塌的极限状态,评估建筑物和其他结构在极端风作用下的系统级非弹性性能。这将使建筑系统能够评估由于棘轮、低周期疲劳和/或瞬时塑性倒塌而导致的破坏,对这些系统的评估被认为是在降低利益相关者成本的情况下实现更大的抗极端风暴弹性的关键。通过推进应力合成塑性和混合计算,不确定性传播方案将能够直接评估动态安定和初期坍塌等性能目标的可靠性,这些指标是先进的基于性能的风力设计的核心指标。为了使用户能够与该技术进行交互,将开发一个全面的面向对象的交互式图形界面,该界面具有可扩展和可维护的特性,从而确保该项目的结果将远远超出其结论。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。
英文摘要
The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is the creation of technology for leveraging performance-based design to mitigate the massive economic loss and societal disruption caused by damage to buildings and other structures from extreme windstorms, e.g. hurricanes. Performance-based design represents a paradigm shift that is recognized by the engineering community as the future of the profession. To accelerate this fundamental shift for buildings subject to extreme windstorms, this project will create a first-of-its-kind technology for the implementation of performance-based wind design by leveraging recent breakthroughs in computational modeling of inelastic dynamic systems and uncertainty propagation, therefore resulting in tools that explicitly ensure (1) enhanced resilience of buildings and other structures to future windstorms and (2) the stakeholder need for cost effectiveness. This will create transformative advances on the profession of civil and structural engineering through arming the designers of buildings and other structures subject to extreme winds with a means to implement advanced performance-based wind design in a new process. The project will also train a postdoctoral researcher and undergraduate students in innovation and entrepreneurship in civil engineering technology.This project will create prototype technology for carrying out advanced performance-based wind design through the explicit evaluation of building performance at all hazard intensities, including at ultimate load levels where significant damage is expected, while systematically treating uncertainty through reliability. The technology will provide, for the first time, a tangible means for design engineers to evaluate the system-level inelastic performance of buildings and other structures subject to extreme winds through the limit states of dynamic shakedown and/or incipient collapse. This will enable the assessment of building systems against failure due to ratcheting, low cycle fatigue, and/or instantaneous plastic collapse, the evaluation of which is recognized as key to achieving greater resilience against extreme windstorms at reduced costs to stakeholders. By advancing stress resultant plasticity and hybrid computing, uncertainty propagation schemes will enable direct evaluation of reliability at the performance objectives of dynamic shakedown and incipient collapse, metrics at the very core of advanced performance-based wind design. To enable user interaction with the technology, a comprehensive object-oriented interactive graphics interface will be developed that possesses extensible and maintainable characteristics, therefore ensuring the results of this project will endure well beyond its conclusion.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.
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会议论文
I-Corps: Software technology for performance-based wind design through dynamic shakedown
Performance-Based Wind Engineering: Knowledge and Computational Modeling Advances for Collapse Characterization
CAREER: Using Metamodeling to Enable High-Fidelity Modeling in Risk-based Multi-hazard Structural Design
Collaborative Research: A Holistic Performance-Based Design Framework for Water, Debris, Pressure and Drift Induced Losses of Buildings under Winds
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