Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A hybrid automated modal identification algorithm for Structural Health Monitoring: a comparative assessment
Recent systems and techniques for damage detection based on vibration analysis are increasing their attractiveness in a wide range of applicative fields. Modal-based damage detection algorithms are well-known techniques for structural health assessment, but the lack of automated modal identification and tracking procedures has been for long a barrier for the utilization of modal-based damage detection techniques as a component of monitoring applications. In fact, the automated identification of modal parameters is not a trivial task due to the extensive interaction from an expert user generally required by traditional modal analysis procedures. The development of different automated output-only modal identification procedures in the last few years renewed the interest in such techniques. However, robustness of the automated modal identification algorithms towards slightly non-stationary excitation, computational efforts and reliability of modal parameter and, in particular, damping estimates still represent open issues. The present paper deals with a hybrid algorithm for automated output-only modal parameter estimation for structural health monitoring purposes that is based on the lessons learned about the performance of popular operational modal analysis techniques. The novel algorithm has been obtained from different modal identification algorithms through a hybridization process and, so doing, some issues concerning the interpretation of stabilization diagrams are overcome. The control of the computational time and the capacity of providing reliable and very accurate damping estimates are among the primary advantages of the procedure. Its performance assessment is herein reported referring to the results of a number of benchmark case studies, made of both simulated data and real measurements. Capacity of the procedure to identify both fundamental and higher modes is also checked. Finally, a comparative assessment with the performance of another previously developed algorithm (LEONIDA) is illustrated and discussed in detail. Available results seem to confirm the robustness and accuracy of the algorithm, which has a large potential in the field of vibration based monitoring of civil structures.
A hybrid automated modal identification algorithm for Structural Health Monitoring: a comparative assessment
Recent systems and techniques for damage detection based on vibration analysis are increasing their attractiveness in a wide range of applicative fields. Modal-based damage detection algorithms are well-known techniques for structural health assessment, but the lack of automated modal identification and tracking procedures has been for long a barrier for the utilization of modal-based damage detection techniques as a component of monitoring applications. In fact, the automated identification of modal parameters is not a trivial task due to the extensive interaction from an expert user generally required by traditional modal analysis procedures. The development of different automated output-only modal identification procedures in the last few years renewed the interest in such techniques. However, robustness of the automated modal identification algorithms towards slightly non-stationary excitation, computational efforts and reliability of modal parameter and, in particular, damping estimates still represent open issues. The present paper deals with a hybrid algorithm for automated output-only modal parameter estimation for structural health monitoring purposes that is based on the lessons learned about the performance of popular operational modal analysis techniques. The novel algorithm has been obtained from different modal identification algorithms through a hybridization process and, so doing, some issues concerning the interpretation of stabilization diagrams are overcome. The control of the computational time and the capacity of providing reliable and very accurate damping estimates are among the primary advantages of the procedure. Its performance assessment is herein reported referring to the results of a number of benchmark case studies, made of both simulated data and real measurements. Capacity of the procedure to identify both fundamental and higher modes is also checked. Finally, a comparative assessment with the performance of another previously developed algorithm (LEONIDA) is illustrated and discussed in detail. Available results seem to confirm the robustness and accuracy of the algorithm, which has a large potential in the field of vibration based monitoring of civil structures.
A hybrid automated modal identification algorithm for Structural Health Monitoring: a comparative assessment
Rainieri, C. (Autor:in) / Fabbrocino, G. (Autor:in)
2012
13 Seiten, 6 Bilder, 5 Tabellen, 26 Quellen
Aufsatz (Konferenz)
Englisch
| British Library Conference Proceedings | 2008
Modal Parameter Identification Method for Structural Health Monitoring Benchmark Model
| British Library Conference Proceedings | 2012
| Trans Tech Publications | 2007
| UB Braunschweig | 2021