课题基金 / 基金详情

Integrated Structural Design with Controls for Dynamic Forces

Integrated Structural Design with Controls for Dynamic Forces
具有动态力控制的集成结构设计
批准号:
9626850
负责人:
Mahendra Singh
金额:
$30.52万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-06-01 至 2001-05-31

项目摘要

项目成果

Mahendra Singh的其他基金

相似基金

相关文献

中文摘要
翻译
9626850辛格该项目被提交给“性能、安全和减灾研究的结构控制”竞赛。这项工作的主要目标是研究和开发一种滑模控制在土木结构中的应用。这种方法的数学结构允许它应用于线性和非线性系统。为此,该项目将通过分析和实验来解决几个基本研究问题,该项目分为几个任务。第一个任务是开发最优滑模控制器,包括线性和非线性系统的频率成形和频域方法;第二个任务是集成主动控制;最后是对所开发的控制算法进行实验验证。这项研究的结果将有助于开发实验验证的主动和半主动控制方法,应用于土木结构,以提高其在地震和风力作用下的性能和安全性。***
英文摘要
9626850 Singh This project was submitted to the "Structural Control for Performance, Safety and Hazard Mitigation Research" competition. The main goal of this work is to examine and develop a sliding mode control for its application to civil structures. The mathematical structure of this method permits its application to linear and non-linear systems. To this end several basic research question will be addressed analytically and experimentally by the project which is divided into several tasks. The first task is to develop optimal sliding mode controllers, including frequency shaping and frequency domain approaches, both for linear and non-linear systems; next task is to integrate active control; and finally to verify experimentally the developed control algorithms. Results from this research will lead to the development of experimentally verified active and semi-active control methods to be applied to civil structures for improving their performance and safety under seismic and wind forces. ***
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Strain Response Measurement-Based Optimal Damage Identification of Civil Structures
US-Japan Seminar: Network and Center-Based Research for Earthquake Engineering and Smart Structures Technologies
Sensor-Based Seismic Performance and Safety Enhancement of Elevators in Buildings
Seismic Design of Energy Dissipation Systems for Optimal Structural Performance
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: