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A probabilistic performance evaluation for buildings and constructed assets
dc.contributor.author | Bortolini, Rafaela |
dc.contributor.author | Forcada Matheu, Núria |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria de la Construcció |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció |
dc.date.accessioned | 2020-03-23T13:17:25Z |
dc.date.available | 2020-12-16T01:35:45Z |
dc.date.issued | 2020 |
dc.identifier.citation | Bortolini, R.; Forcada, N. A probabilistic performance evaluation for buildings and constructed assets. "Building research and information", 2020, vol. 48, núm. 8, p. 838-855. |
dc.identifier.issn | 1466-4321 |
dc.identifier.uri | http://hdl.handle.net/2117/180935 |
dc.description | This is an Accepted Manuscript of an article published by Taylor & Francis Group in Building Research & Information on 2019, available online at: http://www.tandfonline.com/10.1080/09613218.2019.1704208 |
dc.description.abstract | The conservation state of buildings is of increasing interest due to the need to renovate aging building stock and provide a safe and healthy place for end users. Numerous uncertain factors have an impact on building condition, including environmental agents, building age, type of assets and maintenance. Previous studies have focused on identifying these factors, but the relationships among them remain unclear. This paper proposes a Bayesian network (BN) approach to develop a model for assessing a building’s condition. The BN model is based on an extensive review and evaluation of degradation causal factors supported by an analysis of 1974 defects and 5373 maintenance requests in forty buildings. The model was verified by sensitivity analysis, and the proposed approach was tested on an existing building. The model could be used as a supporting tool to identify renovation strategies that can enhance the conservation state of buildings and constructed assets. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals |
dc.subject | Àrees temàtiques de la UPC::Edificació |
dc.subject.lcsh | Buildings--Performance |
dc.subject.other | Building performance |
dc.subject.other | Condition assessment |
dc.subject.other | Post-occupancy Evaluation (PoE) |
dc.subject.other | Occupant complaints |
dc.title | A probabilistic performance evaluation for buildings and constructed assets |
dc.type | Article |
dc.subject.lemac | Edificis -- Avaluació |
dc.contributor.group | Universitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció |
dc.identifier.doi | 10.1080/09613218.2019.1704208 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.tandfonline.com/doi/abs/10.1080/09613218.2019.1704208 |
dc.rights.access | Open Access |
local.identifier.drac | 26548560 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Bortolini, R.; Forcada, N. |
local.citation.publicationName | Building research and information |
local.citation.volume | 48 |
local.citation.number | 8 |
local.citation.startingPage | 838 |
local.citation.endingPage | 855 |
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