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Data-Based System Reliability Design for Wind

基于数据的风电系统可靠性设计

基本信息

批准号：
2013697
负责人：
Mircea Grigoriu
金额：
$ 46.48万
依托单位：
Cornell University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2013697&HistoricalAwards=false
关键词：
Data Based System Reliability Design

项目摘要

Wind loads used in current design standards do not account for various sources of uncertainties, such as wind tunnel records, climatological data, and surface roughness length. This simplified characterization may yield inaccurate wind effects and, as a result, unsatisfactory estimates of the performance of buildings subjected to wind loads. This award will overcome limitations of current standards by developing a practical computational framework for wind design, based on climatological data, wind tunnel records, and rigorous probabilistic/statistical concepts. The framework will quantify the uncertainties in wind loads by probabilistic models, propagate these uncertainties into wind effects by efficient computational methods, and develop design conditions which view buildings as systems rather than collections of independent components. The research will be complemented by an educational program involving course development, graduate and undergraduate researchers, and presentations at national and international conferences. The computational framework will be shared with the NSF-supported Natural Hazards Engineering Research Infrastructure, Computational Modeling and Simulation Center, as a module for wind design. This research will contribute to NSF's role in the National Windstorm Impact Reduction Program. This project will develop a computational framework that constitutes a new paradigm in wind engineering. The framework will map climatological and wind tunnel data into system reliability estimates for buildings subjected to wind loads by accounting for the mechanical and aerodynamic characteristics of these buildings. The system reliability methodology for wind design will be based on: (1) novel probabilistic models for wind loads whose samples and realizations, rather than just their mean and correlation functions, will be statistically consistent with wind tunnel time histories, (2) new efficient methods for calculating wind effect samples from wind load samples in linear/nonlinear structures subjected to stationary/nonstationary, Gaussian/non-Gaussian wind loads, and (3) system reliability estimates of structural performance that, unlike current approaches that check ultimate/serviceability limit states member-by-member, will consider these limit states simultaneously at all structural members. The format of the ultimate/serviceability criteria will be similar to that of current standards.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.

现行设计标准中使用的风荷载没有考虑各种不确定性来源，如风洞记录、气候数据和表面粗糙度长度。这种简化的表征可能会产生不准确的风效应，因此，不满意的估计性能的建筑物受到风荷载。该奖项将克服现有标准的局限性，根据气候数据，风洞记录和严格的概率/统计概念，开发一个实用的风力设计计算框架。该框架将通过概率模型量化风荷载的不确定性，通过有效的计算方法将这些不确定性传播到风效应中，并开发将建筑物视为系统而不是独立组件集合的设计条件。该研究将通过涉及课程开发，研究生和本科生研究人员以及在国家和国际会议上的演讲的教育计划进行补充。计算框架将与NSF支持的自然灾害工程研究基础设施，计算建模和仿真中心共享，作为风设计的模块。这项研究将有助于NSF在国家减少风暴影响计划中的作用。该项目将开发一个计算框架，构成风力工程的新范式。该框架将通过考虑这些建筑物的机械和空气动力学特征，将气候和风洞数据映射到承受风载荷的建筑物的系统可靠性估计中。风力设计的系统可靠性方法将基于：（1）风荷载的新概率模型，其样本和实现，而不仅仅是其平均值和相关函数，将在统计上与风洞时程一致，（2）从承受平稳/非平稳的线性/非线性结构的风荷载样本计算风效应样本的新有效方法，高斯/非高斯风荷载，以及（3）结构性能的系统可靠性估计，与目前逐个检查构件极限状态/正常使用极限状态的方法不同，该方法将同时考虑所有结构构件的极限状态。最终/适用性标准的格式将与现行标准的格式类似。该奖项反映了NSF的法定使命，并被认为值得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来支持。