Automated modal identification and tracking: Application to an iron arch bridge

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Cunha, A. (Author) FEUP; Cabboi, A. (Author) Other; Magalhães, F. (Author) FEUP; Gentile, C. (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: STRUCTURAL CONTROL & HEALTH MONITORING

Vol. 24

ISSN: 1545-2255

Indexing

ISI Web of Knowledge - 24 Citations

ISI Web of Science

Scopus - 81 Citations

Other information

Authenticus ID: P-00M-A2K

DOI: 10.1002/stc.1854

Abstract (EN): Challenges concerning the automation of modal identification and tracking procedures in permanent monitoring systems for Structural Health Monitoring purposes are discussed. In this context, an automated procedure based on parametric identification methods that involve the interpretation of stabilization diagrams is proposed. The methodology comprehends two key points: (i) automatic analysis of stabilization diagrams, performed through a first check of reasonable damping ratio, a subsequent modal complexity check and a final clustering of structural modes; (ii) automated tracking of the evolution in time of the identified modal properties. The proposed modal clustering and tracking steps exploit the introduction of self-adaptable dynamic thresholds, that do not require any a priori manual tuning for the different recorded data set. Finally, the proposed approach was successfully validated using real data collected on a historic iron arch bridge. Copyright (C) 2016 John Wiley & Sons, Ltd.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20