Advanced Control and Simulation of Structural Systems
Advanced Control and Simulation of Structural Systems
批准号:
RGPIN-2016-06290
负责人:
Mercan, Oya
金额:
$1.75万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
结构工程是一种职业,在这种职业中,失败可能导致毁灭性的生命和财产损失。为了在极端载荷条件下保护结构,已经开发和部署了几种不同的结构控制系统。近期自然灾害的灾后调查表明,一些具有结构控制系统的建筑物在很少或没有损坏的情况下幸存下来;而其他具有类似控制系统的建筑物则严重受损。这些可以被视为结构控制潜力的证明,以及研究使用这些系统以确保在极端负载条件下保持一致和稳健的结构响应的必要性。****为了开发和广泛使用这些控制系统,有必要制定基于性能的设计规范,这需要从配备这些设备的结构的实时测试中了解结构性能。实时混合仿真(RTHS)是解决这一需求的理想方法,它只测试与结构其余部分的计算模型相关联的关键部件,从而通过更广泛的测试进行更深入、更经济的研究。****提出的高度跨学科的研究计划将处理与结构控制系统的实际实施和RTHS的成功应用相关的共同挑战。它将为RTHS和混合控制系统开发自调谐控制器。这将使非控制领域专家的研究人员能够可靠地执行复杂结构系统的RTHS。提出的研究计划的交付成果还包括一个新的、紧凑的、经过实验验证的混合控制系统。通过向结构工程师展示增强的,可靠的测试工具和控制技术,拟议的跨学科计划将有助于设计和理解下一代结构。*随着研究成果的传播,并通过将培养的高素质人才,这一前沿研究项目将使加拿大在结构测试和控制领域处于领先地位
英文摘要
Structural engineering is a profession where failure can result in devastating loss of life and property. To protect structures during extreme loading conditions, several different structural control systems have already been developed and deployed. The investigations in the aftermath of recent natural disasters show that some structures with structural control systems survived with little or no damage; whereas other structures with similar control systems were severely damaged. These can be seen as testaments of both the potential of structural control and the need for research to employ these systems in a way to ensure consistent and robust structural response under extreme loading conditions.****To enable the development and widespread use of these control systems, it is necessary to develop performance based design codes which require knowledge of structural performance from real-time tests of structures equipped with these devices. Real-time Hybrid Simulation (RTHS) is ideal to address this need by only testing the critical components linked with computational models of the remainder of the structure and thus enabling a deeper and more economical investigation through a broader array of tests.****The proposed highly interdisciplinary research program will handle the common challenges related to the practical implementation of the structural control systems and successful application of RTHS. It will develop self-tuning controllers for RTHS and hybrid control systems. This will enable researchers who are not experts in control field to reliably perform RTHS of complex structural systems. The deliverables of the proposed research program also include a new, compact, and experimentally-validated hybrid control system. By presenting structural engineers with enhanced, reliable testing tools and control techniques, the proposed interdisciplinary program will contribute to the design and understanding of the next generation structures.*With the dissemination of the research findings, and through the highly qualified personnel that will be trained, this cutting-edge research program will provide Canada with a leading position in the field of structural testing and control.**
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Advanced Simulation Platforms for Performance Based Engineering
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批准号:RGPIN-2022-05127
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项目类别:Discovery Grants Program - Individual
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资助金额:$3.13万
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财政年份:2022
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负责人:Mercan, Oya
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依托单位:
Advanced Control and Simulation of Structural Systems
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批准号:RGPIN-2016-06290
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2020
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负责人:Mercan, Oya
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依托单位:
Advanced Control and Simulation of Structural Systems
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批准号:RGPIN-2016-06290
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2018
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负责人:Mercan, Oya
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依托单位:
Seismic Loss Estimation of Modular Steel Buildings****
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批准号:535754-2018
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2018
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负责人:Mercan, Oya
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依托单位:
Advanced Control and Simulation of Structural Systems
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批准号:RGPIN-2016-06290
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2017
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负责人:Mercan, Oya
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依托单位:
Advanced Control and Simulation of Structural Systems
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批准号:RGPIN-2016-06290
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2016
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负责人:Mercan, Oya
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依托单位:
Characterization of vertical post-tensioned steel connection for modular structures
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批准号:506929-2016
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2016
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负责人:Mercan, Oya
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依托单位:
System level response evaluation of modular steel buildings
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批准号:485833-2015
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2015
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负责人:Mercan, Oya
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依托单位:
Vibration control of a high-rise structural development in downtown Toronto
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批准号:486047-2015
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2015
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负责人:Mercan, Oya
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依托单位:
Developments for real-time pseudodynamic (PSD) and hybrid PSD test methods
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批准号:371627-2009
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2014
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负责人:Mercan, Oya
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依托单位:
Buckling and bending response of tower modules
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批准号:462082-2013
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2013
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负责人:Mercan, Oya
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依托单位:
Experimental investigations of tall/slender structure vibration control
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批准号:461023-2013
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2013
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负责人:Mercan, Oya
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依托单位:
Mid-to High-Rise Modular Steel Construction
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批准号:445837-2012
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项目类别:Engage Grants Program
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资助金额:$1.82万
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财政年份:2012
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负责人:Mercan, Oya
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依托单位:
Developments for real-time pseudodynamic (PSD) and hybrid PSD test methods
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批准号:371627-2009
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2012
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负责人:Mercan, Oya
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依托单位:
Developments for real-time pseudodynamic (PSD) and hybrid PSD test methods
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批准号:371627-2009
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.75万
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财政年份:2011
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负责人:Mercan, Oya
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依托单位:
Developments for real-time pseudodynamic (PSD) and hybrid PSD test methods
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批准号:371627-2009
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.38万
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财政年份:2010
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负责人:Mercan, Oya
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依托单位:
Developments for real-time pseudodynamic (PSD) and hybrid PSD test methods
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批准号:371627-2009
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.38万
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财政年份:2009
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负责人:Mercan, Oya
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依托单位:
Real-time hybrid psedodynamic testing system
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批准号:374707-2009
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项目类别:Research Tools and Instruments - Category 1 (<$150,000)
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资助金额:$9.24万
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财政年份:2008
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负责人:Mercan, Oya
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依托单位:
国内基金
海外基金
Cortical control of internal state in the insular cortex-claustrum region
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批准号:--
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项目类别:--
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资助金额:25万元
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批准年份:2020
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负责人:Robert Konrad Naumann
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依托单位: