Development of High Performance Control Systems for Wind Response Mitigation
开发用于减轻风响应的高性能控制系统
基本信息
- 批准号:1537626
- 负责人:
- 金额:$ 39.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In recent years, there has been an increased shift towards the performance-based analysis and design of buildings to resist natural hazards such as earthquakes and wind. The new paradigm of incorporating high performance control systems to increase building performance under these hazards is promising. Control systems are adaptable devices capable of high energy absorption that would significantly reduce the structural response. However, their design is not holistically integrated into the structural design process in a way that would ensure attaining the targeted performance level of response. This is mostly due to the high range of variability in available control systems, the uncertainties associated with the performance of the control systems and the building, variability in the type of loading in a multi-hazard scheme, and unclear definition of performance measures when it comes to wind loads. The goal of this research is to develop a holistic integration control systems directly at the design stage, with particular attention to structures subjected to a variety of wind hazards, including thunderstorms, hurricanes, gust-fronts, and tornadoes. This methodology will empower the design engineers with technical and financial arguments supporting the integration of control systems within the structural system. By validating the potential benefits of control systems, there will be an increasing number of applications of these systems, enabling an integrated design approach for meeting the performance criteria set for structural response in windstorms. The focus of this project is to develop a probabilistic performance-based methodology for structures equipped with high performance control systems. The objective of the project is twofold: (1) to establish a performance-based methodology that includes the variability of control systems and (2) to support the integration of control systems for wind response mitigation. Loads and response data will be produced using physical models of structures subjected to a variety of wind loads using a boundary-layer wind tunnel, and tornado and microburst simulation facilities. The notion of control system performance, including sensor failure, power failure, and controller sub-performance will be integrated in the procedure using an integrated probabilistic approach. Control systems will be developed following the procedure, which will include a novel variable friction device. Physics based numerical simulations will be developed to validate and demonstrate the performance-based methodology for control systems. These simulations will enable the analysis of life-cycle performance of a structure equipped with control systems under a set of scenarios. Novel quantitative metrics will be formulated to characterize structural performance versus performance of the control systems.
近年来,人们越来越多地转向基于性能的建筑分析和设计,以抵御地震和风等自然灾害。 结合高性能控制系统来提高这些危险下的建筑性能的新范例是有前途的。控制系统是适应性强的设备,能够吸收大量能量,从而显着降低结构响应。然而,他们的设计并未以确保达到目标响应性能水平的方式整体融入结构设计过程。这主要是由于可用控制系统的高度可变性、与控制系统和建筑物性能相关的不确定性、多危险方案中负载类型的可变性以及性能测量的定义不明确。谈到风荷载。这项研究的目标是在设计阶段直接开发整体集成控制系统,特别关注遭受雷暴、飓风、阵风和龙卷风等各种风害的结构。这种方法将为设计工程师提供技术和财务论证,支持控制系统在结构系统中的集成。通过验证控制系统的潜在优势,这些系统的应用将会越来越多,从而实现集成设计方法,以满足暴风雨中结构响应的性能标准。该项目的重点是为配备高性能控制系统的结构开发一种基于概率性能的方法。该项目的目标有两个:(1)建立基于性能的方法,其中包括控制系统的可变性;(2)支持控制系统的集成以减轻风响应。 将使用边界层风洞以及龙卷风和微爆模拟设施,利用承受各种风荷载的结构的物理模型来生成荷载和响应数据。控制系统性能的概念,包括传感器故障、电源故障和控制器子性能,将使用集成概率方法集成到程序中。将按照该程序开发控制系统,其中包括新型可变摩擦装置。将开发基于物理的数值模拟来验证和演示基于性能的控制系统方法。这些模拟将能够在一系列场景下分析配备控制系统的结构的生命周期性能。将制定新的定量指标来表征结构性能与控制系统的性能。
项目成果
期刊论文数量(0)
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专利数量(0)
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Simon Laflamme其他文献
Damage detection on mesosurfaces using distributed sensor network and spectral diffusion maps
使用分布式传感器网络和光谱扩散图进行介观表面损伤检测
- DOI:
10.1088/0957-0233/27/4/045110 - 发表时间:
2016-03-16 - 期刊:
- 影响因子:0
- 作者:
V. Chinde;Liang Cao;Umesh Vaidya;Simon Laflamme - 通讯作者:
Simon Laflamme
Predictors of Family Physician Use Among Older Residents of Ontario and An Analysis of the Andersen-Newman Behavior Model
安大略省老年居民家庭医生使用的预测因素以及安徒生-纽曼行为模型的分析
- DOI:
10.1017/s071498080001299x - 发表时间:
2001 - 期刊:
- 影响因子:0
- 作者:
Linda G. Houle;A. Salmoni;R. Pong;Simon Laflamme;G. Viverais - 通讯作者:
G. Viverais
3D printed self-sensing cementitious composites using graphite and carbon microfibers
使用石墨和碳微纤维的 3D 打印自感知水泥基复合材料
- DOI:
10.1088/1361-6501/ad41f9 - 发表时间:
2024-04-23 - 期刊:
- 影响因子:0
- 作者:
Han Liu;Simon Laflamme;A. D’Aless;ro;ro;Filippo Ubertini - 通讯作者:
Filippo Ubertini
E-learning systems versus instructional communication tools: Developing and testing a new e-learning user interface from the perspectives of teachers and students
电子学习系统与教学交流工具:从教师和学生的角度开发和测试新的电子学习用户界面
- DOI:
10.1016/j.techsoc.2019.101192 - 发表时间:
2019-11-01 - 期刊:
- 影响因子:9.2
- 作者:
W. Farhan;Jamil Razmak;Serge Demers;Simon Laflamme - 通讯作者:
Simon Laflamme
Design and Standardization of a Speech and Language Screening Tool for Use among School-Aged Bilingual Children in a Minority Language Setting
供少数民族语言环境中学龄双语儿童使用的言语和语言筛查工具的设计和标准化
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Michèle Minor;Chantal Mayer;Roxanne Bélanger;M. Robillard;Simon Laflamme;A. Reguigui - 通讯作者:
A. Reguigui
Simon Laflamme的其他文献
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{{ truncateString('Simon Laflamme', 18)}}的其他基金
Collaborative Research: SHF: Small: Sub-millisecond Topological Feature Extractor for High-Rate Machine Learning
合作研究:SHF:小型:用于高速机器学习的亚毫秒拓扑特征提取器
- 批准号:
2234919 - 财政年份:2023
- 资助金额:
$ 39.9万 - 项目类别:
Standard Grant
RTML: Small: Collaborative: A Programming Model and Platform Architecture for Real-time Machine Learning for Sub-second Systems
RTML:小型:协作:亚秒级系统实时机器学习的编程模型和平台架构
- 批准号:
1937460 - 财政年份:2019
- 资助金额:
$ 39.9万 - 项目类别:
Standard Grant
PFI-TT: Physics-based Deep Transfer Learning for Predictive Maintenance of Industrial and Agricultural Machinery
PFI-TT:基于物理的深度迁移学习,用于工业和农业机械的预测性维护
- 批准号:
1919265 - 财政年份:2019
- 资助金额:
$ 39.9万 - 项目类别:
Standard Grant
Collaborative Research: Multifunctional Structural Panel for Energy Efficiency and Multi-Hazards Mitigation
合作研究:用于提高能源效率和减轻多种危害的多功能结构面板
- 批准号:
1562992 - 财政年份:2016
- 资助金额:
$ 39.9万 - 项目类别:
Standard Grant
Collaborative Research: Semi-Active Controlled Cladding Panels for Multi-Hazard Resilient Buildings
合作研究:用于多灾害防御建筑的半主动控制覆层板
- 批准号:
1463252 - 财政年份:2015
- 资助金额:
$ 39.9万 - 项目类别:
Standard Grant
Developing the Next Generation of Cost-Effective High Performance Damping Systems for Seismic and Wind Hazards Mitigation
开发下一代经济高效的高性能阻尼系统以减轻地震和风灾
- 批准号:
1300960 - 财政年份:2013
- 资助金额:
$ 39.9万 - 项目类别:
Standard Grant
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