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Showing 3 results for Khanmohammadi

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.
Arash Mohammad-Moradi, Seyed-Abbas Yazdanfar, Mohammad-Ali Khanmohammadi,
Volume 35, Issue 1 (1-2025)
Abstract

Light significantly affects human physiological and psychological dimensions, particularly emotions, which play a key role in mental health. Exploring the relationship between the quantitative and qualitative characteristics of light and emotional or affective states in indoor architectural spaces is essential due to the substantial time people spend in such environments. However, a comprehensive study that integrates and summarizes existing knowledge in this field is still lacking. This systematic review aims to synthesize current evidence and identify research gaps. A total of 4,897 records were identified using relevant keywords from five databases: Scopus, Web of Science, ScienceDirect, PubMed, and APA PsycINFO. The review followed the Prisma 2020 guidelines. After screening (kappa = 0.784) and assessing eligibility based on PICOS criteria, 14 articles were selected according to the inclusion criteria and authors’ consensus. Reviewing references led to the inclusion of one additional article. All 15 studies were rated as of acceptable quality, and their data were extracted. The findings reveal that most prior studies have evaluated the effects of Illuminance, Correlated Color Temperature (CCT), Lighting Color, and Lighting Distribution or Direction on Pleasure, Arousal, and Dominance (PAD) in predominantly administrative, commercial, or educational indoor spaces. Generally, all PAD dimensions are directly correlated with Illuminance level, and Arousal is directly related to CCT. Furthermore, the combination of direct and indirect Lighting and relatively complex lighting Distribution increase Pleasure, and Colored light heightens Arousal while reducing Dominance. Identified research gaps underscore the need for future studies focusing on artificial lighting dependent on interior architectural form, indoor natural light, residential environments, and the use of behavioral and neurophysiological indicators for emotion evaluation.
 

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