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Implementation of a multi-scale predictive system of the degradation of the urban front in Brno, Czech Republic

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10.1088/1755-1315/222/1/012029
 
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Torres, Anny
Acosta, Lloanna Maria
Gibert Armengol, VicenteMés informacióMés informació
Serrat Piè, CarlesMés informacióMés informacióMés informació
Document typeArticle
Defense date2019-01
Rights accessOpen Access
Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain
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.
CitationTorres, 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. 
URIhttp://hdl.handle.net/2117/129899
DOI10.1088/1755-1315/222/1/012029
ISSN1755-1315
Publisher versionhttps://iopscience.iop.org/article/10.1088/1755-1315/222/1/012029/pdf
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