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Design Evaluation and Optimization of School Buildings Using Artificial Intelligent Approaches

  • Author / Creator
    Alyari Tabrizi, Eilnaz
  • 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.

  • Subjects / Keywords
  • Graduation date
    2013-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3K93C
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Civil and Environmental Engineering
  • Specialization
    • Construction Engineering and Management
  • Supervisor / co-supervisor and their department(s)
    • AbouRizk, Simaan (Civil and Environmental Engineering)
  • Examining committee members and their departments
    • Henein, Hani (Chemical and Materials Engineering)
    • Lu, Ming (Civil and Environmental Engineering)
    • AbouRizk, Simaan (Civil and Environmental Engineering)