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Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability

Construction process has often been described as a highly complex because of the number of disciplines involved from conceptual and design to construction stage. Once completed, the environmental change and usage of the building test the quality of the design and workmanship as well as the suitabili...

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Main Authors: Yatim, J.M., Tapir, S.H., Usman, F.
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Published: 2018
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/8876
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spelling my.uniten.dspace-88762018-02-21T04:35:45Z Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability Yatim, J.M. Tapir, S.H. Usman, F. Construction process has often been described as a highly complex because of the number of disciplines involved from conceptual and design to construction stage. Once completed, the environmental change and usage of the building test the quality of the design and workmanship as well as the suitability of material used. The degradation of buildings are influenced by a whole set of factors such as environmental degradation agents, quality of material, protective treatment, design of buildings, quality of work and maintenance. This paper describes the global issue of sustainability, data collection and potential applications of an analysis using artificial neural network in predicting service life for an ongoing research on affordable quality housing at Universiti Teknologi Malaysia. © Civil-Comp Press, 2005. 2018-02-21T04:35:45Z 2018-02-21T04:35:45Z 2005 http://dspace.uniten.edu.my/jspui/handle/123456789/8876
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Construction process has often been described as a highly complex because of the number of disciplines involved from conceptual and design to construction stage. Once completed, the environmental change and usage of the building test the quality of the design and workmanship as well as the suitability of material used. The degradation of buildings are influenced by a whole set of factors such as environmental degradation agents, quality of material, protective treatment, design of buildings, quality of work and maintenance. This paper describes the global issue of sustainability, data collection and potential applications of an analysis using artificial neural network in predicting service life for an ongoing research on affordable quality housing at Universiti Teknologi Malaysia. © Civil-Comp Press, 2005.
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author Yatim, J.M.
Tapir, S.H.
Usman, F.
spellingShingle Yatim, J.M.
Tapir, S.H.
Usman, F.
Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability
author_facet Yatim, J.M.
Tapir, S.H.
Usman, F.
author_sort Yatim, J.M.
title Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability
title_short Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability
title_full Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability
title_fullStr Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability
title_full_unstemmed Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability
title_sort evaluation of building performance using artificial neural networks: a study on service life planning in achieving sustainability
publishDate 2018
url http://dspace.uniten.edu.my/jspui/handle/123456789/8876
_version_ 1644494558058250240
score 13.160551

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