Identification and Active Control of Structures Under Earthquake Loadings

地震荷载下结构的识别与主动控制

• 批准号: 9114047
• 负责人: Jackson C.S. Yang
• 金额: $ 6.44万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-06-01 至 1992-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9114047&HistoricalAwards=false
• 关键词: Identification; Active; Control; Structures; Under

This project consists of two research parts: (1) verification and utilization as a proposed controller of a new system identification (SI) technique, and (2) study of two active control schemes, i.e., the modified Luenberger pole placement and neural control algorithms, for the active control of structures against earthquakes. The main objective is to investigate the feasibility and application of these two control schemes in protection of civil engineering structures under seismic conditions. A 10-story apartment building in San Jose, California whose 13 seismic instruments have recorded many earthquake response data will be analyzed to validate a system identification technique which is capable of identifying the structural dynamic model from the measured response records and without knowing the seismic input. This SI technique will be incorporated into the formulation of two control schemes, whose feasibility and effectiveness will then be studied. This project contains an important component of Research Opportunity Awards (ROA) and provides collaborative support for a faculty researcher from a historically minority institution.

该项目由两个研究部分组成：（1）作为新系统识别（SI）技术的拟议控制器的验证和使用，以及（2）两种主动控制方案的研究，即改进的Luenberger极点配置和神经控制算法，用于主动控制结构的抗震能力。 主要目的是研究这两种控制方案在地震条件下土木工程结构保护中的可行性和应用。 加利福尼亚州圣何塞的一栋 10 层公寓楼的 13 个地震仪器记录了许多地震响应数据，将对其进行分析，以验证系统识别技术，该技术能够在不知道地震输入的情况下从测量的响应记录中识别结构动力模型。 该SI技术将被纳入两个控制方案的制定中，然后研究其可行性和有效性。 该项目包含研究机会奖 (ROA) 的重要组成部分，并为历史上少数族裔机构的教职研究员提供协作支持。