|Ph.D Thesis||Department of Architecture and Town Planning|
|Supervisors:||Prof. Emeritus Burt Michael|
|Assoc. Prof. Czamanski Daniel|
It is generally accepted that when confronted with a design problem involving a free wide span and requiring an economic solution the most suitable design strategy is light-weight space structures
The domain of space structures represents a building category characterized by a large number of alternate construction systems which can be discussed and classified according to structural scheme and behavior structures morphology and geometry, building materials and technology, economics, design flexibility and aesthetic appearance. The proliferation of construction systems as well as the eager-to-sell firms places the client in a very "targeted" position.
Multi Criteria Decision Making (M.CD.M) methods were developed and applied successfully in numerous fields of planning activity but have failed to touch on the design and construction of space structures. A decision maker faced with a multi criteria decision problem, who is not supported by an advanced decision making technique, confronts a problem which is far beyond his professional ability. The resulting decision is partial, subjective and unbalanced, failing to approach all relevant objectives and with a direct impact upon the project's future success.
Due to the above mentioned observations an effort was made to develop an approach for the comparative evaluation of light-weight space structures' construction systems, to assist developers and designers select the best available construction solution for a project at hand.
The nature of the decision making problem is described along with the family of light-weight space structures. M.C.D.M methods are described and categorized as well as the benefits of using advanced decision making techniques. The comparative evaluation approach is then described in detail and implemented upon an actual case study -roofing an outdoor swimming pool. Sensitivity analysis is conducted, proving the robustness of the approach. Possible implementations of the approach are suggested as well as directions for further research.