Selecting the appropriate Smart Materials using Multi-criteria decision AHP in Hot and Dry climates (Case study: Central Iran)
Keywords:
Smart materials, Hot and dry climate, AHP decision, Adaptive ArchitectureAbstract
Nowadays, with introduced modern systems and new materials in building construction industry and competitiveness, the decision to apply the most appropriate structural system in semi-traditional architecture system of the project is not easy for architects who don’t have enough information about smart material performance in each climate.  During designing and performance, it is one of the major challenges in engineering and construction management especially in Iran. Appropriate Smart Materials could be selected on many and varied criteria such as economics, social and technical bases. As regards, the modern manufacturing techniques have benefits such as, product standards, durability and stability, quality components, speed of implementation, lower cost compared with traditional systems, easy  assembling and dismantling , they need using professional, semi-skilled and skilled worker to decrease energy consumption, flexibility of design and architecture. Considering to the history of Iranian Architecture and varied climates in Iran, selecting of smart materials is a complicated issue. However, other factor such as providing users’ comfort is necessary, too. Since smart materials are so varied and each of them reacts to different external stimulus, smart materials which have been chosen in this paper are sensitive to sunlight due to central Iran’s climate specifications. After introducing the smart materials, they have been evaluated with criteria such as sustainability, environmental and saving energy bases, lifetime, durability and economical factors. In addition, the final decision has been made with regard to the opinions of experts and decision-makers including, consultants and contractors based on fuzzy multi-criteria decision making method AHP. Finally, with this method, some of materials which were evaluated as best will be recommended for hot and dry climates in Iran.
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