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Showing 2 results for Najafi

E. Najafi, M. Faizi, A.m. Khanmohammadi, F. Mehdizade Saradj,
Volume 25, Issue 2 (12-2015)
Abstract

This paper classifies green envelopes as green roofs and green walls according to effective factors, which were derived from literature to compare the green envelopes’ thermal and energy performance in a more effective way. For this purpose, an extensive literature review was carried out by searching keywords in databases and studying related journal papers and articles. The research method for this study was bibliographic and logical reasoning. The paper proposes five classification factors: contextual factors, greenery factors, scale factors and surface and integration factors. It also demonstrates the influence of physical and geometrical properties of plants and their supporting structures on the thermal performance of green envelopes. The paper argues that climatic conditions also have an important role on the thermal behavior of green envelopes and it determines the types of greenery integration into building envelopes.


E. Najafi, M. A. Khanmohammadi, K. W. Smith,
Volume 29, Issue 1 (6-2019)
Abstract

This study examines how analogy affects problem-solving in ideation phase of design among architects and engineers. For this purpose, a design problem was given to master and Ph.D. students of engineering and architecture. They were given two optional analogy sources to choose and be inspired by one. From the analysis of design sessions, using different coding groups and the application of the Protocol analysis, the following results were achieved. Choosing different analogies would cause application of different levels of abstraction by designers in design, considering their discipline. Also, choosing between two analogies would affect mainly the behaviour of engineers in the problem space. For architects choosing between different analogies do not affect their problem solving or structuring so much but it affects their problem space monitoring mainly. Finally, architects benefit from analogy mostly for problem solving.

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