Napolitano, Ciro (2025) Dampers with complex hysteretic behavior: modeling, identification and finite element analysis. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Dampers with complex hysteretic behavior: modeling, identification and finite element analysis
Autori:
Autore
Email
Napolitano, Ciro
ciro.napolitano@unina.it
Data: 7 Febbraio 2025
Numero di pagine: 178
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Strutture per l'Ingegneria e l'Architettura
Dottorato: Ingegneria strutturale, geotecnica e rischio sismico
Ciclo di dottorato: 37
Coordinatore del Corso di dottorato:
nome
email
Iervolino, Iunio
iunio.iervolino@unina.it
Tutor:
nome
email
Rosati, Luciano
[non definito]
Vaiana, Nicolò
[non definito]
Data: 7 Febbraio 2025
Numero di pagine: 178
Parole chiave: dampers, phenomenological models, parametric identification, nonlinear dynamic analysis.
Settori scientifico-disciplinari del MIUR: Area 08 - Ingegneria civile e Architettura > ICAR/08 - Scienza delle costruzioni
Informazioni aggiuntive: IL SOTTOSCRITTO CIRO NAPOLITANO APPARTINE AL 37 CICLO, PER UN PROBLEMA TECNICO E' RICHIESTO DI INSERIRE IL CICLO 36.
Depositato il: 21 Ott 2025 09:33
Ultima modifica: 09 Ago 2026 06:03
URI: https://www.fedoa.unina.it/id/eprint/16634

Abstract

The design of seismic-resistant structures represents one of the most relevant challenges in structural engineering, with the goal of minimizing the destructive effects of earthquakes. This thesis improves structural safety and makes the analysis of energy dissipation devices more precise and accessible through innovative aspects. A first innovative aspect is the unique classification of energy dissipation devices based on their hysteretic behaviors. This classification distinguishes between rate-dependent and rate-independent devices, providing a detailed picture of their dissipation characteristics and capabilities. The thesis also develops advanced algorithms for parametric identification of hysteretic models, implemented in MATLAB. These algorithms provide an efficient and accurate method for calibrating model parameters from experimental data. The innovation lies in the ability to significantly reduce the computational burden by identifying parameters quickly and accurately, ensuring simulations that faithfully reflect the real behavior of devices. Another relevant contribution is the validation of the Vaiana-Rosati Model (VRM) in a finite element analysis environment, demonstrated through simulations reproducing simple and complex hysteretic loops. Finally, the application of VRM in nonlinear dynamic analyses on reinforced concrete structures equipped with dampers demonstrates the effectiveness of the devices in increasing seismic resilience. The results show a significant reduction in displacements, velocities, and accelerations, underscoring the importance of integrating advanced models and innovative dissipators into seismic-resilient design.

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