# Determining the main criteria and presenting a mathematical model in the evaluation of new construction technologies

Document Type : Research Article

Author

Assistant Professor of the Research Department of Structural Engineering and Technical Buildings of the Road Research Center, Buildingand urban development

Abstract

Evaluating new construction technologies based on quantitative analysis before applying the technology in the construction industry can minimize the risk of using a technology. The research method in this article is experimental-theoretical. The experimental part includes the review of the information on 45 types of implemented technologies, their field impressions, and pathology, and in the theoretical part, the author designs 330 quantitative evaluation questions and receives the opinions of prestigious universities of the country regarding the proposed questions and finally presents the mathematical model of the evaluation criteria. The questions are designed to meet the two goals of safety and competition. The mathematical model presented for the first time by the author is presented in this article under the title of the triangle of evaluation criteria of new construction technologies. The length of the sides of this triangle is equal to the score obtained from each of the questions related to the quality, cost, and speed of construction for each technology, which are the three main criteria for the quantitative evaluation of a technology. The evaluation triangle shows that if the length of the quality side becomes zero in the evaluation of a technology, it is a deterrent and ban on the use of that technology. Presenting the normalized triangle model for evaluation criteria was aimed at achieving a competitive goal. The length of each of the sides of this triangle can be between zero and 0.5 (except zero and 0.5), provided that the sum of the sides does not exceed one. In this model, if the length of one of the sides approaches zero, the result will be a skinny triangle. which indicates the high risk of that technology in relation to that criterion.

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