Lubrano Lobianco, Alessandro (2023) Vibration-based SHM for structures and infrastructure: from damage assessment to optimal data management. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Vibration-based SHM for structures and infrastructure: from damage assessment to optimal data management
Autori:
Autore
Email
Lubrano Lobianco, Alessandro
alessandro.lubranolobianco@unina.it
Data: 9 Marzo 2023
Numero di pagine: 216
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: 35
Coordinatore del Corso di dottorato:
nome
email
Iervolino, Iunio
iunio.iervolino@unina.it
Tutor:
nome
email
Di Ludovico, Marco
[non definito]
Data: 9 Marzo 2023
Numero di pagine: 216
Parole chiave: Modal-based damage detection, frequency variation, OMA, Structural Health Monitoring.
Settori scientifico-disciplinari del MIUR: Area 08 - Ingegneria civile e Architettura > ICAR/09 - Tecnica delle costruzioni
Depositato il: 21 Mar 2023 12:52
Ultima modifica: 10 Apr 2025 13:08
URI: http://www.fedoa.unina.it/id/eprint/15143

Abstract

The aim of this thesis is to assess the impact of earthquake-induced damage on the modal properties of structures using experimental tests and numerical analysis, in order to quantify the damage through structural monitoring systems (SHM). The study covers various levels of structural complexity, ranging from reinforced concrete columns to 2D reinforced concrete frames with brick infills, as well as reinforced concrete buildings and bridge piles for monitoring bridges (BHM). The thesis presents a methodology that correlates the variation of modal properties of a whole structure or a structural element with a pre- defined scale of damage, developed using both experimental and numeri- cal approaches. The experimental approach is used to validate numerical models, in order to make a dataset of elements for estimating a matrix of correlation between frequency variation and damage level. Additionally, the thesis proposes a methodology for managing, syn- thesizing, and transferring structural health monitoring data for bridges, which is validated through laboratory testing on a scale bridge and applied to seven existing viaducts. The thesis constitutes a preliminary basis for the quantification of the damage seismic using structural vibration-based monitoring techniques and provides a methodological framework for managing data from the lat- ter.

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