location: Current position: Home >> Scientific Research >> Paper Publications

An online substructure identification method for local structural health monitoring

Hits:

Indexed by:期刊论文

Date of Publication:2013-09-01

Journal:ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems

Included Journals:SCIE、EI、CPCI-S、Scopus

Volume:22

Issue:9

ISSN No.:0964-1726

Abstract:This paper proposes a substructure isolation method, which uses time series of measured local response for online monitoring of substructures. The proposed monitoring process consists of two key steps: construction of the isolated substructure, and its identification. The isolated substructure is an independent virtual structure, which is numerically isolated from the global structure by placing virtual supports on the interface. First, the isolated substructure is constructed by a specific linear combination of time series of its measured local responses. Then, the isolated substructure is identified using its local natural frequencies extracted from the combined responses. The substructure is assumed to be linear; the outside part of the global structure can have any characteristics. The method has no requirements on the initial state of the structure, and so the process can be carried out repetitively for online monitoring. Online isolation and monitoring is illustrated in a numerical example with a frame model, and then verified in a cantilever beam experiment.

Pre One:Structural model updating using combined global mode and local primary frequency

Next One:联合整体和局部动态信息的空间桁架模型修正试验