Carmando, Ugo (2025) Stochastic Domain Reduction Method for the Definition of Underground Space Seismic Demand: the CERN LHC Point 5 case study. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Stochastic Domain Reduction Method for the Definition of Underground Space Seismic Demand: the CERN LHC Point 5 case study |
| Autori: | Autore Email Carmando, Ugo ugo.carmando@unina.it |
| Data: | 20 Maggio 2025 |
| Numero di pagine: | 281 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dottorato: | Ingegneria strutturale, geotecnica e rischio sismico |
| Ciclo di dottorato: | 36 |
| Coordinatore del Corso di dottorato: | nome email Iervolino, Iunio iunio.iervolino@unina.it |
| Tutor: | nome email Bilotta, Antonio [non definito] |
| Data: | 20 Maggio 2025 |
| Numero di pagine: | 281 |
| Parole chiave: | Underground Structures, Advanced Finite Element Modelling, Domain Reduction Method, Seismic Input Motion, Stochastic Dynamic Analysis, Uncertainty Treatment. |
| Settori scientifico-disciplinari del MIUR: | Area 08 - Ingegneria civile e Architettura > ICAR/09 - Tecnica delle costruzioni |
| Depositato il: | 21 Ott 2025 09:27 |
| Ultima modifica: | 12 Ago 2026 05:38 |
| URI: | https://www.fedoa.unina.it/id/eprint/16954 |
Abstract
This dissertation proposes to address the seismic behaviour of underground structures, with particular focus on tunnels and subterranean facilities, specifically focusing on the emblematic case study of the Large Hadron Collider (LHC) hosting the CMS underground cavities, at CERN's Point 5 site. The advanced numerical techniques applied, combined with a robust uncertainty analysis, define several probabilistic scenarios and highlight how realistic variations in soil mechanical properties and cavity support parameters significantly influence structural dynamic responses. Such methodology provide a baseline for further investigations to be conducted within a thorough assessment of the seismic response of the CMS cavities, by better understating how the seismic motions vary through site layers and can affect the hosted equipment and installations inside them, contributing to more accurate estimations of the structural safety and the functional integrity requirements of these latter, which are unique in their kind and permit a continuous improvement of the human understanding of how the nature of the universe works.
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