Shock and Vibration

Automated Operational Modal Analysis and its Applications in Structural Health Monitoring


Publishing date
01 May 2019
Status
Published
Submission deadline
28 Dec 2018

Lead Editor

1University of Molise, Campobasso, Italy

2University of Porto, Porto, Portugal

3University of Perugia, Perugia, Italy


Automated Operational Modal Analysis and its Applications in Structural Health Monitoring

Description

Degradation phenomena due to aging, severe environment or fatigue, and damage induced by hazardous events, such as earthquakes, fire, or explosions, may affect the performance and safety of civil structures. Visual inspections, typically in combination with destructive and nondestructive investigations on selected portions of the structure, and scheduled maintenance are the conventional approaches to damage detection and management. However, the local nature of tests, the subjectivity of the expert judgment, and the costs and very limited frequency of inspections have solicited strong research efforts, over the last decades, to change the paradigm, leading to the development of innovative structural health monitoring strategies relying on the analysis of the global, continuously measured, response of the structure. As a result, maintenance programs are more and more going to be based on the effective structural health conditions, as assessed by monitoring, rather than on a periodic basis.

Different approaches have been developed for damage detection based on the incoming data. Modal based damage detection is probably one of the most popular approaches to SHM of civil structures, exploiting the development of several robust automated Operational Modal Analysis (OMA) algorithms in the last decade. It is based on the assumption that damage affects the stiffness properties of the structure and, as a consequence, its modal properties. In spite of the significant advantages and proved effectiveness of the technique, limitations to its extensive application come from the reliability of automated OMA and the sensitivity of the estimated modal parameters to environmental and operational variables (EOVs), which can affect the reliability of damage detection. Furthermore, the extension of these techniques to also address the tasks of damage localization and quantification is yet to be achieved and related research is still at the development stage.

The scope of the special issue is to publish original research papers in the field of automated OMA for modal based SHM. The special issue will mainly focus on the development of new methods of automated OMA and its applications to damage identification, that is, detection, localization, and quantification. Theoretical studies and numerical simulations as well as practical applications are welcome. Papers concerning special applications of automated OMA and postprocessing of results will be also considered.

Potential topics include but are not limited to the following:

  • New methods of automated Operational Modal Analysis
  • Performance assessment of automated Operational Modal Analysis methods
  • Applications of automated Operational Modal Analysis for modal parameter tracking and structural health monitoring
  • Postprocessing of results of automated Operational Modal Analysis: compensation of environmental factors, damage detection, localization, and quantification
  • Automated Operational Modal Analysis of structures exposed to natural or man-made hazards (e.g. earthquakes, floods, landslides, fire, and explosions)
  • Special applications of automated Operational Modal Analysis (e.g. materials characterization, tensile load estimation, and structural identification)

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 5497065
  • - Editorial

Automated Operational Modal Analysis and Its Applications in Structural Health Monitoring

Carlo Rainieri | Filipe Magalhaes | Filippo Ubertini
  • Special Issue
  • - Volume 2019
  • - Article ID 5018732
  • - Research Article

Modal Parameters Identification Method Based on Symplectic Geometry Model Decomposition

Hang Jin | Jianhui Lin | ... | Cai Yi
  • Special Issue
  • - Volume 2019
  • - Article ID 7513261
  • - Research Article

Online Modal Identification of Concrete Dams Using the Subspace Tracking-Based Method

Lin Cheng | Fei Tong | ... | Dongjian Zheng
  • Special Issue
  • - Volume 2019
  • - Article ID 6581516
  • - Research Article

An Introduction of a Robust OMA Method: CoS-SSI and Its Performance Evaluation through the Simulation and a Case Study

Fulong Liu | Jigang Wu | ... | Andrew D. Ball
  • Special Issue
  • - Volume 2019
  • - Article ID 1362954
  • - Research Article

One-Step FE Model Updating Using Local Correspondence and Mode Shape Orthogonality

Martin Ø. Ø. Jull | Sandro D. R. Amador | ... | Rune Brincker
  • Special Issue
  • - Volume 2018
  • - Article ID 6595841
  • - Research Article

The Tunnel Structural Mode Frequency Characteristics Identification and Analysis Based on a Modified Stochastic Subspace Identification Method

Biao Zhou | Xiongyao Xie | Xiaojian Wang
Shock and Vibration
 Journal metrics
Acceptance rate36%
Submission to final decision92 days
Acceptance to publication38 days
CiteScore2.400
Impact Factor1.298
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