Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/33126 https://doi.org/10.1061/(ASCE)CF.1943-5509.0001751 |
Resumo: | The object of this research was to identify the list of climatological variables involved in the appearance of construction failures in the external walls of dwellings through the analysis of over one thousand cases. The data source used consisted of the judicial records of the Justice Administration, a source to which few researchers have access, given the dispersion of the data and the permissions required to access it. Once obtained, all situations pertaining to dwellings were read and annotated, until 100\% of the cases were accounted for, and percentages of recurrence were calculated for each of the nine different types of failures that were described. A study was carried out by so-called strips of climatic location according to four climatological variables (situation, latitude, climate, and annual rainfall) that were sorted from largest to smallest to obtain the ranks of pathology concentration according to the resulting preponderance. Using these results, technicians will be able to identify the most problematic climate-geographical areas by determining the ranks of normalized frequencies, allowing them to take the necessary measures during the construction process. The lessons learned can be incorporated into maintenance plans to optimize preventive maintenance frequency and actions. |
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Exterior bricks walls: learning non-quality through failures and their climate-pathological distributionFailureFacadeBuildingClimatologyEnvironmental conditionsThe object of this research was to identify the list of climatological variables involved in the appearance of construction failures in the external walls of dwellings through the analysis of over one thousand cases. The data source used consisted of the judicial records of the Justice Administration, a source to which few researchers have access, given the dispersion of the data and the permissions required to access it. Once obtained, all situations pertaining to dwellings were read and annotated, until 100\% of the cases were accounted for, and percentages of recurrence were calculated for each of the nine different types of failures that were described. A study was carried out by so-called strips of climatic location according to four climatological variables (situation, latitude, climate, and annual rainfall) that were sorted from largest to smallest to obtain the ranks of pathology concentration according to the resulting preponderance. Using these results, technicians will be able to identify the most problematic climate-geographical areas by determining the ranks of normalized frequencies, allowing them to take the necessary measures during the construction process. The lessons learned can be incorporated into maintenance plans to optimize preventive maintenance frequency and actions.Journal of Performance of Constructed Facilities2023-01-04T15:12:44Z2023-01-042022-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/33126http://hdl.handle.net/10174/33126https://doi.org/10.1061/(ASCE)CF.1943-5509.0001751por@article{doi:10.1061/(ASCE)CF.1943-5509.0001751, author = {Manuel J. Carretero-Ayuso and Mª Teresa Pinheiro-Alves and Daniel Antón and María Fernández-Alconchel }, title = {Exterior Brick Walls: Learning Nonquality through Failures and Climate-Pathological Distribution}, journal = {Journal of Performance of Constructed Facilities}, volume = {36}, number = {5}, pages = {04022040}, year = {2022}, doi = {10.1061/(ASCE)CF.1943-5509.0001751}, URL = {https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CF.1943-5509.0001751}, eprint = {https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001751}, abstract = { The object of this research was to identify the list of climatological variables involved in the appearance of construction failures in the external walls of dwellings through the analysis of over one thousand cases. The data source used consisted of the judicial records of the Justice Administration, a source to which few researchers have access, given the dispersion of the data and the permissions required to access it. Once obtained, all situations pertaining to dwellings were read and annotated, until 100\% of the cases were accounted for, and percentages of recurrence were calculated for each of the nine different types of failures that were described. A study was carried out by so-called strips of climatic location according to four climatological variables (situation, latitude, climate, and annual rainfall) that were sorted from largest to smallest to obtain the ranks of pathology concentration according to the resulting preponderance. Using these results, technicians will be able to identify the most problematic climate-geographical areas by determining the ranks of normalized frequencies, allowing them to take the necessary measures during the construction process. The lessons learned can be incorporated into maintenance plans to optimize preventive maintenance frequency and actions. } }https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CF.1943-5509.0001751ndtpa@uevora.ptndnd741CARRETERO-AYUSO, M.J.PINHEIRO-ALVES, M.T.ANTÓN, D.FERNANDEZ-ALCONCHEL, M.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:34:41Zoai:dspace.uevora.pt:10174/33126Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:22:03.059247Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution |
title |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution |
spellingShingle |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution CARRETERO-AYUSO, M.J. Failure Facade Building Climatology Environmental conditions |
title_short |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution |
title_full |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution |
title_fullStr |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution |
title_full_unstemmed |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution |
title_sort |
Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution |
author |
CARRETERO-AYUSO, M.J. |
author_facet |
CARRETERO-AYUSO, M.J. PINHEIRO-ALVES, M.T. ANTÓN, D. FERNANDEZ-ALCONCHEL, M. |
author_role |
author |
author2 |
PINHEIRO-ALVES, M.T. ANTÓN, D. FERNANDEZ-ALCONCHEL, M. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
CARRETERO-AYUSO, M.J. PINHEIRO-ALVES, M.T. ANTÓN, D. FERNANDEZ-ALCONCHEL, M. |
dc.subject.por.fl_str_mv |
Failure Facade Building Climatology Environmental conditions |
topic |
Failure Facade Building Climatology Environmental conditions |
description |
The object of this research was to identify the list of climatological variables involved in the appearance of construction failures in the external walls of dwellings through the analysis of over one thousand cases. The data source used consisted of the judicial records of the Justice Administration, a source to which few researchers have access, given the dispersion of the data and the permissions required to access it. Once obtained, all situations pertaining to dwellings were read and annotated, until 100\% of the cases were accounted for, and percentages of recurrence were calculated for each of the nine different types of failures that were described. A study was carried out by so-called strips of climatic location according to four climatological variables (situation, latitude, climate, and annual rainfall) that were sorted from largest to smallest to obtain the ranks of pathology concentration according to the resulting preponderance. Using these results, technicians will be able to identify the most problematic climate-geographical areas by determining the ranks of normalized frequencies, allowing them to take the necessary measures during the construction process. The lessons learned can be incorporated into maintenance plans to optimize preventive maintenance frequency and actions. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-01T00:00:00Z 2023-01-04T15:12:44Z 2023-01-04 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/33126 http://hdl.handle.net/10174/33126 https://doi.org/10.1061/(ASCE)CF.1943-5509.0001751 |
url |
http://hdl.handle.net/10174/33126 https://doi.org/10.1061/(ASCE)CF.1943-5509.0001751 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
@article{doi:10.1061/(ASCE)CF.1943-5509.0001751, author = {Manuel J. Carretero-Ayuso and Mª Teresa Pinheiro-Alves and Daniel Antón and María Fernández-Alconchel }, title = {Exterior Brick Walls: Learning Nonquality through Failures and Climate-Pathological Distribution}, journal = {Journal of Performance of Constructed Facilities}, volume = {36}, number = {5}, pages = {04022040}, year = {2022}, doi = {10.1061/(ASCE)CF.1943-5509.0001751}, URL = {https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CF.1943-5509.0001751}, eprint = {https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001751}, abstract = { The object of this research was to identify the list of climatological variables involved in the appearance of construction failures in the external walls of dwellings through the analysis of over one thousand cases. The data source used consisted of the judicial records of the Justice Administration, a source to which few researchers have access, given the dispersion of the data and the permissions required to access it. Once obtained, all situations pertaining to dwellings were read and annotated, until 100\% of the cases were accounted for, and percentages of recurrence were calculated for each of the nine different types of failures that were described. A study was carried out by so-called strips of climatic location according to four climatological variables (situation, latitude, climate, and annual rainfall) that were sorted from largest to smallest to obtain the ranks of pathology concentration according to the resulting preponderance. Using these results, technicians will be able to identify the most problematic climate-geographical areas by determining the ranks of normalized frequencies, allowing them to take the necessary measures during the construction process. The lessons learned can be incorporated into maintenance plans to optimize preventive maintenance frequency and actions. } } https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29CF.1943-5509.0001751 nd tpa@uevora.pt nd nd 741 |
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info:eu-repo/semantics/embargoedAccess |
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Journal of Performance of Constructed Facilities |
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Journal of Performance of Constructed Facilities |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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