Identification and Active Control of Structures Under Earthquake Loadings

该项目包括两个研究部分：(1)验证和应用一种新的系统辨识(SI)技术作为一种建议的控制器；(2)研究两种主动控制方案，即，改进的Luenberger极点配置和神经控制算法，用于结构的地震主动控制。主要目的是研究这两种控制方案在土木工程结构抗震保护中的可行性和应用。圣何塞的一栋10层公寓楼，加利福尼亚州的13台地震仪器记录了许多地震响应数据，将对其进行分析，以验证一种能够识别在不知道地震输入的情况下，根据测得的响应记录建立结构动力模型。这种SI技术将被纳入两个控制方案的公式中，然后将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，并为来自历史上少数族裔机构的教师研究人员提供协作支持。

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.