Journal ArticleDOI
Automated output-only dynamic identification of civil engineering structures
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TLDR
In this article, the authors present a literature review on the field of automated modal identification and tracking procedures for structural health assessment, and some case studies are also reported in order to validate the approach.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2010-04-01. It has received 151 citations till now. The article focuses on the topics: Modal analysis & Modal.read more
Citations
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Journal ArticleDOI
Fully automated (operational) modal analysis
TL;DR: A fully automated, generally applicable three-stage clustering approach is developed for interpreting a stabilization diagram that does not require any user-specified parameter or threshold value, and can be used in an experimental, operational, and combined vibration testing context and with any parametric system identification algorithm.
Journal ArticleDOI
Automated modal identification in operational conditions and its application to bridges
TL;DR: In this article, an automated modal identification procedure, belonging to the class of SSI techniques and based on the popular tool of clustering analysis, was proposed for the operational modal analysis of two bridges.
Journal ArticleDOI
Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment
Filippo Ubertini,Gabriele Comanducci,Nicola Cavalagli,Anna Laura Pisello,Annibale Luigi Materazzi,Franco Cotana +5 more
TL;DR: In this paper, a case study of an Italian monumental bell tower that has been monitored by the authors for more than nine months is presented, where the relationship between natural frequencies and environmental parameters is investigated in detail and the predictive capabilities of linear statistical regressive models based on the use of several environmental continuous monitoring sensors are assessed.
Journal ArticleDOI
SMC structural health monitoring benchmark problem using monitored data from an actual cable-stayed bridge
TL;DR: In this paper, the authors presented a full-scale bridge benchmark problem organized by the Center of Structural Monitoring and Control at the Harbin Institute of Technology, where two critical and vulnerable components of cable-stayed bridges were evaluated.
Journal ArticleDOI
Development and validation of an automated operational modal analysis algorithm for vibration-based monitoring and tensile load estimation
TL;DR: In this paper, an original algorithm for automated output-only modal parameter estimation is presented, which is used for non-destructive testing as well as continuous monitoring purposes in view of continuous monitoring applications, and the results point out that the algorithm is fairly robust and demonstrate its ability to provide accurate and precise estimates of the modal parameters.
References
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Book
RANDOM DATA Analysis and Measurement Procedures
TL;DR: A revised and expanded edition of this classic reference/text, covering the latest techniques for the analysis and measurement of stationary and nonstationary random data passing through physical systems, is presented in this article.
ReportDOI
Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
TL;DR: A review of the technical literature concerning the detection, location, and characterization of structural damage via techniques that examine changes in measured structural vibration response is presented in this article, where the authors categorize the methods according to required measured data and analysis technique.
Journal ArticleDOI
Blind signal separation: statistical principles
TL;DR: The objectives of this paper are to review some of the approaches that have been developed to address blind signal separation and independent component analysis, to illustrate how they stem from basic principles, and to show how they relate to each other.
Modal Identification from Ambient Responses Using Frequency Domain Decomposition
TL;DR: In this paper, a decomposition of the spectral density function matrix is introduced for modal identification from ambient responses, i.e. in the case where the modal parameters must be estimated without knowing the input of the system.
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