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Permanent link (DOI): https://doi.org/10.7939/R3K93C

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Design Evaluation and Optimization of School Buildings Using Artificial Intelligent Approaches Open Access

Descriptions

Other title
Subject/Keyword
Building Performance Evaluation
Fuzzy Expert System
Educational Buildings
Artificial Intelligent
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Alyari Tabrizi, Eilnaz
Supervisor and department
AbouRizk, Simaan (Civil and Environmental Engineering)
Examining committee member and department
AbouRizk, Simaan (Civil and Environmental Engineering)
Lu, Ming (Civil and Environmental Engineering)
Henein, Hani (Chemical and Materials Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Construction Engineering and Management
Date accepted
2013-01-23T15:27:50Z
Graduation date
2013-06
Degree
Master of Science
Degree level
Master's
Abstract
School buildings are one of the most important educational and learning environments and the appropriate design of these spaces has a significant impact in enhancing both students’ and teachers’ performance, comfort and satisfaction. As a result, the preliminary design evaluation and optimization of school buildings should be given a significant consideration. The key factor in design optimization of a school building is defining the users' expectations, which is qualitative and subjective in nature. To capture these qualitative and imprecise aspects of the problem, and optimize school building design parameters a multi-criteria fuzzy expert system is employed and the design evaluation and optimization model is developed. Different school building design parameters such as; building orientation and layout, envelope features, indoor air quality as well as day-lighting systems are investigated as part of the design evaluation and optimization process. The fuzzy expert system is used to analyze the optimal values of a list of parameters associated with the building design process to enhance the learning environment for school buildings. This method employs both quantitative and qualitative design performance parameters and allows for comparison analysis between different design alternatives in order to achieve the objectives of the study.
Language
English
DOI
doi:10.7939/R3K93C
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
A. Tabrizi, Elnaz, Al- Hussein, Mohamed, “Multi-criteria Design Evaluation and Optimization of School Buildings Using Artificial Intelligent Approaches”, Construction Research Congress 2012 © ASCE 2012, May 21 – 23, 2012, West Lafayette, USA.

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