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Title:Knowledge-Based Model for Integrated Tall Building Design Factors
Author(s):Zisko, Ajla
Doctoral Committee Chair(s):Mir M. Ali
Department / Program:Architecture
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Civil
Abstract:Factors influencing the design process can take many different forms, such as conceptual, physical, economic, environmental, social, and cultural. This dissertation focuses on development of an ontology to capture integrated design factors for tall buildings. An ontology is a knowledge-based model representing a certain domain by hierarchical conceptual taxonomies and a network of relationships describing that domain. It describes concepts relating to the domain, their attributes and relations in which objects link to one another. The factors, relations and characteristics in the design process can be explicitly defined and presented. This dissertation captures the design process of tall buildings, design factors and involved agents. Particular focus is given to environmental effects, physical systems, economical factors, sociocultural aspects, as well as emerging technologies in design and sustainability. Integrated design as an approach is investigated, as well as the role of Building Information Modeling (BIM). BIM typically captures information about a building, such as elements and components, and the developed ontology is aimed at extending BIM to include contextual information. Examples of BIM implementation in architectural practice are presented. An ontology is utilized as a knowledge-based model in a web-based educational application aimed to represent integrated design factors, to assist in search and information processing during schematic design, and foster collaboration. Results show that future generations of computational tools for architectural design should foster integrated design and advanced information modeling techniques, actively assisting users from the earliest stages of project. The developed knowledge-based model contains computational representations that can be utilized in such system.
Issue Date:2008
Description:283 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
Other Identifier(s):(MiAaPQ)AAI3337991
Date Available in IDEALS:2015-09-28
Date Deposited:2008

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