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Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows
Aluminum windows are crucial components of building envelopes since they connect the indoor space to the external environment. Various external causes degrade or harm the functioning of aluminum windows. In this regard, inspecting the performance of aluminum windows is a necessary task to keep build...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746013/ https://www.ncbi.nlm.nih.gov/pubmed/35009501 http://dx.doi.org/10.3390/ma15010354 |
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author | Chen, Huaguo Chow, Cheuk Lun Lau, Denvid |
author_facet | Chen, Huaguo Chow, Cheuk Lun Lau, Denvid |
author_sort | Chen, Huaguo |
collection | PubMed |
description | Aluminum windows are crucial components of building envelopes since they connect the indoor space to the external environment. Various external causes degrade or harm the functioning of aluminum windows. In this regard, inspecting the performance of aluminum windows is a necessary task to keep buildings healthy. This review illustrates the deterioration mechanisms of aluminum windows under various environmental conditions with an intention to provide comprehensive information for developing damage protection and inspection technologies. The illustrations reveal that moisture and chloride ions have the most detrimental effect on deteriorating aluminum windows in the long run, while mechanical loads can damage aluminum windows in a sudden manner. In addition, multiple advanced inspection techniques potential to benefit assessing aluminum window health state are discussed in order to help tackle the efficiency problem of traditional visual inspection. The comparison among those techniques demonstrates that infrared thermography can help acquire a preliminary defect profile of inspected windows, whereas ultrasonic phased arrays technology demonstrates a high level of competency in analyzing comprehensive defect information. This review also discusses the challenges in the scarcity of nanoscale corrosion information for insightful understandings of aluminum window corrosion and reliable window inspection tools for lifespan prediction. In this regard, molecular dynamics simulation and artificial intelligence technology are recommended as promising tools for better revealing the deterioration mechanisms and advancing inspection techniques, respectively, for future directions. It is envisioned that this paper will help upgrade the aluminum window inspection scheme and contribute to driving the construction of intelligent and safe cities. |
format | Online Article Text |
id | pubmed-8746013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87460132022-01-11 Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows Chen, Huaguo Chow, Cheuk Lun Lau, Denvid Materials (Basel) Review Aluminum windows are crucial components of building envelopes since they connect the indoor space to the external environment. Various external causes degrade or harm the functioning of aluminum windows. In this regard, inspecting the performance of aluminum windows is a necessary task to keep buildings healthy. This review illustrates the deterioration mechanisms of aluminum windows under various environmental conditions with an intention to provide comprehensive information for developing damage protection and inspection technologies. The illustrations reveal that moisture and chloride ions have the most detrimental effect on deteriorating aluminum windows in the long run, while mechanical loads can damage aluminum windows in a sudden manner. In addition, multiple advanced inspection techniques potential to benefit assessing aluminum window health state are discussed in order to help tackle the efficiency problem of traditional visual inspection. The comparison among those techniques demonstrates that infrared thermography can help acquire a preliminary defect profile of inspected windows, whereas ultrasonic phased arrays technology demonstrates a high level of competency in analyzing comprehensive defect information. This review also discusses the challenges in the scarcity of nanoscale corrosion information for insightful understandings of aluminum window corrosion and reliable window inspection tools for lifespan prediction. In this regard, molecular dynamics simulation and artificial intelligence technology are recommended as promising tools for better revealing the deterioration mechanisms and advancing inspection techniques, respectively, for future directions. It is envisioned that this paper will help upgrade the aluminum window inspection scheme and contribute to driving the construction of intelligent and safe cities. MDPI 2022-01-04 /pmc/articles/PMC8746013/ /pubmed/35009501 http://dx.doi.org/10.3390/ma15010354 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Chen, Huaguo Chow, Cheuk Lun Lau, Denvid Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows |
title | Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows |
title_full | Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows |
title_fullStr | Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows |
title_full_unstemmed | Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows |
title_short | Deterioration Mechanisms and Advanced Inspection Technologies of Aluminum Windows |
title_sort | deterioration mechanisms and advanced inspection technologies of aluminum windows |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746013/ https://www.ncbi.nlm.nih.gov/pubmed/35009501 http://dx.doi.org/10.3390/ma15010354 |
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