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Τύπος: Άρθρο σε επιστημονικό περιοδικό
Τίτλος: Vibration-based damage localization and quantification framework of large-scale truss structures
Συγγραφέας: [EL] Μαρκογιαννάκη, Όλγα[EN] Markogiannaki, Olgasemantics logo
[EL] Αραϊλόπουλος, Αλέξανδρος[EN] Arailopoulos, Alexandrossemantics logo
[EL] Γιαγκόπουλος, Δημήτριος[EN] Giagopoulos, Dimitriossemantics logo
[EL] Παπαδημητρίου, Κώστας[EN] Papadimitriou, Costassemantics logo
Ημερομηνία: 21/06/2022
Περίληψη: The use of structural health monitoring (SHM) systems on a regular basis is critical to achieve early damage detection, avoid unpredicted failures, and perform cost-effective maintenance planning. The main objective of this work is to present a model-based Damage Detection Framework for truss structural systems that uses output-only vibration measurements. Model-based methods provide much more comprehensive information about the condition of the monitored system than the data-driven and also allow the prediction of the location and level of damage. The measured vibration response of a healthy structural system under operational vibrations is employed to tune a parameterized FE model using state-of-the-art FE model updating techniques to obtain an optimal numerical model of the structural system. Based on the optimal FE model, a set of damaged FE models is generated for selected damage scenarios. A damage approximation approach that represents local damage with uniform stiffness reduction is also presented. In the Damage Detection Framework, the vibration data records for both the “healthy” and the “damaged” structure and the results from multiple numerical analysis on the “healthy” and the “damaged” FE models are used. The transmittance functions for the “healthy” and “damaged” states of the structure and the FE models are derived to calculate the damage indicators. Using these indicators, potentially damaged structural members are identified, grouped, and compared to finally locate the specific damaged member. The proposed framework provides both accurate damage localization and damage quantification using a limited number of sensors for unknown input excitation. Herein, the case study used is a laboratory steel truss bridge.
Γλώσσα: Αγγλικά
Σελίδες: 23
DOI: 10.1177/14759217221100443
EISSN: 1741-3168
Θεματική κατηγορία: [EL] Μηχανολογική μηχανική[EN] Mechanical Engineeringsemantics logo
Λέξεις-κλειδιά: Structural Health MonitoringDamage IdentificationFinite Element ModelingFE Model UpdatingTransmittance Functions
Κάτοχος πνευματικών δικαιωμάτων: © The Author(s) 2022, Article Reuse Guidelines
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: https://journals.sagepub.com/doi/10.1177/14759217221100443
Ηλεκτρονική διεύθυνση περιοδικού: https://journals.sagepub.com/home/SHM
Τίτλος πηγής δημοσίευσης: Structural Health Monitoring
Τόμος: 22
Κεφάλαιο: 2
Σελίδες τεκμηρίου (στην πηγή): 1376-1398
Σημειώσεις: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Greece and the European Union (European Social Fund-ESF) through the Operational Programme «Human Resources Development, Education and Lifelong Learning 2014–2020» in the context of the project “Structural Health Monitoring and Damage Detection of Bridges based in vibrational measurements” (MIS 5050131).
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