Exterior bricks walls: learning non-quality through failures and their climate-pathological distribution

Detalhes bibliográficos
Autor(a) principal: CARRETERO-AYUSO, M.J.
Data de Publicação: 2022
Outros Autores: PINHEIRO-ALVES, M.T., ANTÓN, D., FERNANDEZ-ALCONCHEL, M.
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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spelling 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
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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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dc.publisher.none.fl_str_mv Journal of Performance of Constructed Facilities
publisher.none.fl_str_mv Journal of Performance of Constructed Facilities
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