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

2016 ◽  
Vol 24 (1) ◽  
pp. e1854 ◽  
Author(s):  
Alessandro Cabboi ◽  
Filipe Magalhães ◽  
Carmelo Gentile ◽  
Álvaro Cunha
Keyword(s):  
Modal Identification ◽  
Arch Bridge ◽  
Automated Modal Identification

scholarly journals Automated Modal Identification Based on Improved Clustering Method

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Gangrou Wu ◽  
Min He ◽  
Peng Liang ◽  
Chunsheng Ye ◽  
Yue Xu
Keyword(s):  
Structural Damage ◽  
Previous Method ◽  
Modal Identification ◽  
Modal Parameters ◽  
Clustering Method ◽  
Modal Data ◽  
Benchmark Experiment ◽  
Stabilization Diagram ◽  
Automated Modal Identification ◽  
Last Stage

The automated modal identification has been playing an important role in online structural damage detection and condition assessment. This paper proposes an improved hierarchical clustering method to identify the precise modal parameters by automatically interpreting the stabilization diagram. Two major improvements are provided in the whole clustering process. The modal uncertainty is first introduced in the first stage to eliminate as many as possible mathematical modal data to produce more precise clustering threshold, which helps to produce more precise clustering results. The boxplot is introduced in the last stage to assess the precision of the clustering results from a statistical perspective. Based on an iterative analysis of boxplot, the outliers of the clustering results are found out and eliminated and the precise modal results are finally produced. The Z24 benchmark experiment data are utilized to validate the feasibility of the proposed method, and comparison between the previous method and the improved method is also provided. From the result, it can be concluded that the modal uncertainty is more effective than the other modal criteria in distinguishing the mathematical modal data. The modal results by clustering process are not precise in statistic and the boxplot can find out the outliers of the clustering results and produce more precise modal results. The improved automated modal identification method can automatically extract the physical modal data and produce more precise modal parameters.

scholarly journals The role of modal parameters uncertainty estimation in automated modal identification, modal tracking and data normalization

2020 ◽  
Vol 224 ◽  
pp. 111208
Author(s):  
Sérgio Pereira ◽  
Edwin Reynders ◽  
Filipe Magalhães ◽  
Álvaro Cunha ◽  
Jorge P. Gomes
Keyword(s):  
Uncertainty Estimation ◽  
Modal Identification ◽  
Modal Parameters ◽  
Data Normalization ◽  
Parameters Uncertainty ◽  
Automated Modal Identification

Automated modal identification in operational conditions and its application to bridges

2013 ◽  
Vol 46 ◽  
pp. 264-278 ◽  
Author(s):  
Filippo Ubertini ◽  
Carmelo Gentile ◽  
Annibale Luigi Materazzi
Keyword(s):  
Modal Identification ◽  
Operational Conditions ◽  
Automated Modal Identification

Modal Identification of an Experimental Model of Masonry Arch Bridge

2009 ◽  
Vol 413-414 ◽  
pp. 707-714 ◽  
Author(s):  
Gianluca Ruocci ◽  
Rosario Ceravolo ◽  
Alessandro de Stefano
Keyword(s):  
Experimental Model ◽  
Structural Engineering ◽  
Modal Identification ◽  
Dynamic Identification ◽  
Masonry Arch ◽  
Damage Scenario ◽  
Arch Bridge ◽  
Cracking Mechanisms ◽  
Arch Bridges ◽  
Masonry Arch Bridge

The erosion of the river bed material at bridge pier foundation produced by scour events is one of the main causes of the observed masonry bridges failures and collapses. Foundation settlements and rotations derived from the reduction of the footprint under the piers threaten masonry arch bridges integrity more than any gravity load. The resulting effect on the structure is the development of cracking mechanisms on the arches which may affect the dynamic behaviour of the whole bridge. A scaled experimental model of a masonry arch bridge has been built in the laboratory of the Dep. of Structural Engineering at the Politecnico di Torino. The aim was to better understand scour damage scenario and to identify early structural symptoms of pier erosion. A preliminary dynamic identification is carried out on the intact structure and a comparison with the FEM results is performed. The set of identified modal parameters is adopted as the reference system that will be compared with those acquired after the application of damage of increasing extent.

THE MODAL IDENTIFICATION METHOD IN NONLINEAR HEAT TRANSFER PROBLEMS

Equipment ◽  
2006 ◽  
Author(s):  
O. Balima ◽  
D. Petit ◽  
J. B. Saulnier ◽  
M. Girault ◽  
Y. Favennec
Keyword(s):  
Heat Transfer ◽  
Modal Identification ◽  
Identification Method ◽  
Nonlinear Heat Transfer ◽  
Transfer Problems
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