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Implementation of a multi-scale predictive system of the degradation of the urban front in Brno, Czech Republic
dc.contributor.author | Torres, Anny |
dc.contributor.author | Acosta, Lloanna Maria |
dc.contributor.author | Gibert Armengol, Vicente |
dc.contributor.author | Serrat Piè, Carles |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.date.accessioned | 2019-02-27T15:21:08Z |
dc.date.available | 2019-02-27T15:21:08Z |
dc.date.issued | 2019-01 |
dc.identifier.citation | Torres, A. [et al.]. Implementation of a multi-scale predictive system of the degradation of the urban front in Brno, Czech Republic. "IOP Conference Series: Earth and Environmental Science", Gener 2019, vol. 222, núm. 1, p. 012029-1-012029-8. |
dc.identifier.issn | 1755-1315 |
dc.identifier.uri | http://hdl.handle.net/2117/129899 |
dc.description.abstract | The unavoidable deterioration of the built urban front in the cities has been increasingly generating a huge environmental impact. From this perspective, it is necessary to develop systematized methods that facilitate strategic maintenance of the facades and which study the variables that can potentially play a significant role in the damage occurrence. Therefore it is convenient to implement analytical methodologies to the decision making process on conservation and sustainability of the built urban front with a macro-scale approach. The BRAIN platform (Building Research Analysis and Information Network) is a Multi-scale Predictive System of the Degradation of the Urban Front. By means of periodic inspections, BRAIN allows analyses of damage progression and prediction of the future affectation, based on survival/reliability statistical models. The aim of this paper is to introduce a preliminary study on the implementation of the Urban Laboratory in the city of Brno, Czech Republic. Results of this primary approach have been displayed and discussed. |
dc.language.iso | eng |
dc.rights | Attribution 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Edificació::Elements constructius d'edificis::Elements de tancament |
dc.subject | Àrees temàtiques de la UPC::Edificació::Manteniment d'edificis |
dc.subject.lcsh | Facades -- Conservation and restoration |
dc.title | Implementation of a multi-scale predictive system of the degradation of the urban front in Brno, Czech Republic |
dc.type | Article |
dc.subject.lemac | Façanes -- Conservació i restauració |
dc.contributor.group | Universitat Politècnica de Catalunya. GREiP - Grup de Recerca d'Edificació i Patrimoni |
dc.contributor.group | Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica |
dc.identifier.doi | 10.1088/1755-1315/222/1/012029 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://iopscience.iop.org/article/10.1088/1755-1315/222/1/012029/pdf |
dc.rights.access | Open Access |
local.identifier.drac | 23945013 |
dc.description.version | Postprint (published version) |
local.citation.author | Torres, A.; Acosta, L.M.; Gibert, V.; Serrat, C. |
local.citation.publicationName | IOP Conference Series: Earth and Environmental Science |
local.citation.volume | 222 |
local.citation.number | 1 |
local.citation.startingPage | 012029-1 |
local.citation.endingPage | 012029-8 |
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