Adaptive modeling and parameter identification of piezoelectric structures under system uncertainty and nonlinear effects
A novel robust synchronization-based computational strategy is developed capable of identifying material and system parameters of active flexible smart structures and modeling the nonlinear response due to faults and system reconfiguration even in the presence of noise in the experimental data and u...
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| Vydáno v: | Mechanical systems and signal processing Ročník 241; s. 113529 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.12.2025
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| Témata: | |
| ISSN: | 0888-3270 |
| On-line přístup: | Získat plný text |
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| Abstract | A novel robust synchronization-based computational strategy is developed capable of identifying material and system parameters of active flexible smart structures and modeling the nonlinear response due to faults and system reconfiguration even in the presence of noise in the experimental data and uncertainties. The sensitivity problem, resulting from the gradient-based algorithm, is addressed with a novel hybrid technique that exploits the advantages of both frequency and time-domain procedures. This hybrid approach ensures robust parameter identification and accurate modeling under challenging conditions making it highly suitable for real-time applications. Extensive numerical results confirm the intrinsic benefits of the proposed computational strategy, demonstrating its effectiveness for simulating the response of nonlinear electromechanical vibration-based devices. The proposed approach is validated through its application to parameter identification and damage diagnosis of a sandwich laminate, showcasing its practical relevance and versatility. These advancements represent a significant step forward in the modeling and control of piezoelectric smart structures, offering a robust solution for applications ranging from structural health monitoring to energy harvesting. |
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| AbstractList | A novel robust synchronization-based computational strategy is developed capable of identifying material and system parameters of active flexible smart structures and modeling the nonlinear response due to faults and system reconfiguration even in the presence of noise in the experimental data and uncertainties. The sensitivity problem, resulting from the gradient-based algorithm, is addressed with a novel hybrid technique that exploits the advantages of both frequency and time-domain procedures. This hybrid approach ensures robust parameter identification and accurate modeling under challenging conditions making it highly suitable for real-time applications. Extensive numerical results confirm the intrinsic benefits of the proposed computational strategy, demonstrating its effectiveness for simulating the response of nonlinear electromechanical vibration-based devices. The proposed approach is validated through its application to parameter identification and damage diagnosis of a sandwich laminate, showcasing its practical relevance and versatility. These advancements represent a significant step forward in the modeling and control of piezoelectric smart structures, offering a robust solution for applications ranging from structural health monitoring to energy harvesting. |
| ArticleNumber | 113529 |
| Author | Maruccio, Claudio Kefal, Adnan Kendibilir, Abdullah Montegiglio, Pasquale |
| Author_xml | – sequence: 1 givenname: Claudio orcidid: 0000-0003-3744-8987 surname: Maruccio fullname: Maruccio, Claudio organization: Panetti Pitagora Technological Technical Institute, Italy – sequence: 2 givenname: Pasquale surname: Montegiglio fullname: Montegiglio, Pasquale organization: No academic affiliation – sequence: 3 givenname: Abdullah surname: Kendibilir fullname: Kendibilir, Abdullah organization: Department of Naval Architecture and Marine Engineering, Piri Reis University, 34940 Tuzla, Istanbul, Turkey – sequence: 4 givenname: Adnan orcidid: 0000-0002-4139-999X surname: Kefal fullname: Kefal, Adnan email: adnankefal@sabanciuniv.edu organization: Faculty of Engineering and Natural Sciences, Sabanci University, 34956 Tuzla, Istanbul, Turkey |
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| Keywords | Flexible smart structures Nonlinear dynamics Uncertainty Parameter identification Synchronization |
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