Alves Vian, Marina
(2021)
Funicular solutions for masonry vaults: a review of recent and past numerical methods.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Civil engineering [LM-DM270], Documento full-text non disponibile
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Abstract
The great engineers, architects and master builders of 17th and 19th centuries constructed the most amazing vaults in the entire world. Considering that the advanced technologies were massively developed only in the 20th century, the traditional approach for constructing masonry vaults were based in the geometry. As Heyman said, the correct shape of a masonry structure ensures its safety. Nowadays, it can be consider that their practice was a success because many of these vaults still stand after all these years. This thesis describes the considerable existing approaches about funicular solution for masonry vaults with the principal features of each method and their extensions. All methods derives compression-only structural lower-bound solutions, which guarantees the safety of the vaulted structures with at least one admissible equilibrium state given its geometry and boundary conditions.
The review comprehends the old methods, Graphic Statics and Limit Analysis that are a strong base to the recent ones, also presented in this paper, Thrust Network Method, Force Density Method, Thrust Network Analysis and Thrust Surface Method. In 2007, the Thrust Network Analysis was introduced by Block and Ochsendorf, since then some extensions of their work were brought up to the scientific community and they are summarized in this thesis due to the importance for upcoming improved methods. Lastly, it is presented an application of the software RhinoVAULT 2 for funicular form-finding using the
Thrust Network Analysis approach. The project designed is the "Tettoia Nervi", placed in Bologna, Italy.
Abstract
The great engineers, architects and master builders of 17th and 19th centuries constructed the most amazing vaults in the entire world. Considering that the advanced technologies were massively developed only in the 20th century, the traditional approach for constructing masonry vaults were based in the geometry. As Heyman said, the correct shape of a masonry structure ensures its safety. Nowadays, it can be consider that their practice was a success because many of these vaults still stand after all these years. This thesis describes the considerable existing approaches about funicular solution for masonry vaults with the principal features of each method and their extensions. All methods derives compression-only structural lower-bound solutions, which guarantees the safety of the vaulted structures with at least one admissible equilibrium state given its geometry and boundary conditions.
The review comprehends the old methods, Graphic Statics and Limit Analysis that are a strong base to the recent ones, also presented in this paper, Thrust Network Method, Force Density Method, Thrust Network Analysis and Thrust Surface Method. In 2007, the Thrust Network Analysis was introduced by Block and Ochsendorf, since then some extensions of their work were brought up to the scientific community and they are summarized in this thesis due to the importance for upcoming improved methods. Lastly, it is presented an application of the software RhinoVAULT 2 for funicular form-finding using the
Thrust Network Analysis approach. The project designed is the "Tettoia Nervi", placed in Bologna, Italy.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Alves Vian, Marina
Relatore della tesi
Scuola
Corso di studio
Indirizzo
Structural Engineering
Ordinamento Cds
DM270
Parole chiave
Funicular structures,Limit analysis,Thrust Network Analysis,Masonry vaults
Data di discussione della Tesi
11 Marzo 2021
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Alves Vian, Marina
Relatore della tesi
Scuola
Corso di studio
Indirizzo
Structural Engineering
Ordinamento Cds
DM270
Parole chiave
Funicular structures,Limit analysis,Thrust Network Analysis,Masonry vaults
Data di discussione della Tesi
11 Marzo 2021
URI
Gestione del documento: