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

J. M. Yatim, S. H. Tapir, F. Usman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005
PublisherCivil-Comp Press
Volume82
ISBN (Print)1905088051, 9781905088058
Publication statusPublished - 01 Jan 2005
Event8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 - Rome, Italy
Duration: 30 Aug 200502 Sep 2005

Other

Other8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005
CountryItaly
CityRome
Period30/08/0502/09/05

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All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Civil and Structural Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence

Cite this

Yatim, J. M., Tapir, S. H., & Usman, F. (2005). Evaluation of building performance using artificial neural networks: A study on service life planning in achieving sustainability. In Proceedings of the 8th International Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, AICivil-Comp 2005 (Vol. 82). Civil-Comp Press.