International Journal of

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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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Atrium is a popular architectural feature utilized widely by building designers and owners to bring various benefits such as adequate daylight, circulation spaces and surfaces for landscape applications. But atrium problems in tropical climates such as excessive daylight, glare and high temperature, which lead to increase building energy demand, have been reported. Atrium has been used with various shapes and purposes in many different climates and buildings especially public ones. It is mainly used to take advantage of daylight in buildings. Therefore, achieving the optimal atrium dimensions is of great importance. This research employed computer simulation using Ecotect and Radiance for daylighting. The collected database is created using simulations for different atrium proportions in IRAN-Qazvin climate zone, where using atria could improve building performance based on the clear sky condition. This research aimed to investigate various atrium models with the purpose of achieving optimal daylight. Note that a combination of factors contributes to calculation and reception of the optimal model including climate, use, and optimal daylight reception. Qazvin climatic conditions were simulated in Ecotect and Radiance. Ten 5-story administrative buildings with atrium ranging from 5%-50% area and one without atrium were modeled. The results showed that optimal samples were buildings with 10% and 15% atrium area in terms of daylight utilization. 
 

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In the architecture of the mosque, the light entering into the dome is a functional necessity and due to the structure, the weight of the dome and its one or more shells has caused limitations in any kind of skylights to be encumbered. The research main question is that due to the mechanism of the dome parts, how the creation and the entering of skylights to the dome were done. The research method is a combination of both quantitative and qualitative methods. Initially, based on library studies, researcher's opinions were investigated and by analyzing 14 types of mosques from the Seljuk to the Qajar era in Iran, analyzes on how to create skylights through the dome were accomplished. This research answer two essential questions which are what principles had been followed for locating skylight in the dome? Moreover, how did light enter through the dome, in one-shell and two-shell domes? The findings show that in the one-shell domes, the position of the skylight is variable. In detached two-shell domes, the skylights are placed merely in 45° areas and are not limited in terms of numbers. Conclusions state that one-shell domes had a restriction to the number of skylights, in comparison to the two-shell domes. In detached two-shell domes, lighting was possible until the 22.5° area and considering no limitations, there has been no skylight in the area between 67.5° to 90° apart from a few exceptions.

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Energy-efficient buildings reduce energy demand. The parameters of the building envelope, as an interface between the interior of the building and the outdoor environment, can greatly influence energy consumption. The main objective of this study is to ‎optimize the parameters of buildings’ envelopes for reducing energy consumption while ‎considering‏ ‏the common style of architectural design in cold-dry regions. The case study research methodology is used to investigate the effect of various openings characteristics on the energy performance of the building. This paper studied one of the stories of a high-rise residential building as the case study and component blocks were used for the rest of the stories. To find an ‎energy-efficient model for the buildings’ façade, considering the effective parameters, ‎numerous simulations were performed by the EnergyPlus as an energy simulation engine. The factors analyzed in this article included the type of glazing, the type of window frame, the window-to-wall ratio (WWR), and shading placement. The results show that a combination of Low-E ‎glazing ‎ and Argon gas with a 5.98% reduction, a UPVC window frame with a 0.36% ‎reduction, a WWR of 30% with a 1.57% increase, an overhang shading with 20cm thickness ‎and 15cm depth with a 1.12% reduction in annual energy consumption can cause a total ‎reduction of 2.45% in annual energy consumption compared to the initial model.‎‏ ‏These ‎changes did not compromise the required lighting for the interior spaces while reducing the ‎energy consumption of the building.

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Today constructing high-rise buildings which consist of a great amount of surface area and also openings is prevalent and is continuing to rise. Therefore, the building’s envelope is among the most important elements that has a great effect on energy consumption and wastage. As a result, Responsive Architecture focuses on the design of the external skin of buildings which can change their physical properties in order to respond to various environmental conditions. These facades can play a significant role in reducing energy consumption produced by fossil fuels and maximizing the use of natural energies. This study aims to simply review and categorize the various solutions provided by responsive architecture in order to reduce energy consumption in contemporary high-rise building skins. To achieve this goal there has to be a clear image presented of the impact of these responsive systems on energy consumption and how they actually function. In this regard, comparative studies on some of the most basic studies concentrated on the subject, and also a few case studies well-known in this area of matter were precisely reviewed with a descriptive-analytical approach. Accordingly, a general assortment of responsive architecture solutions and performance in high-rises were attained and gathered which can be classified into two groups; those applicable for vertical facades including “Kinetic Facades”, “Double-Skin Facades”, “Smart Materials and Windows”, and those for horizontal facades including “Kinetic Roof” and a new type of “Ventilation Stacks and Exhaust Ducts”. These solutions can be operated in combination with each other or for the better performance of another system, depending on environmental conditions. moreover, they can be applied for either new buildings during their construction or even the old ones by installing them separately from the main facade. They can control the energy consumption of the building and minimize the use of mechanical systems by increasing the amount of received solar energy, reducing internal energy wastage, receiving optimum natural daylight, creating natural ventilation, controlling the amount of excess received heat, regulating temperature through energy storage and generating electricity. Responsive architecture solutions show that they can not only make it possible in getting the maximum advantage of renewable sources, but can also extend the useful life of buildings, and produce a quality of experience that reconnects people to the environment and provides delight in their lives.

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The physical-geometric characteristics of buildings have a very important role in the regulation of microclimate conditions and the thermal situation of interior and exterior spaces of buildings. This research aims to investigate the amount of received direct radiation energy of vertical surfaces in buildings and determine the appropriate form, aspect ratio, and orientation of buildings in the cities of Ardabil, Tabriz, Sanandaj, and Hamedan in the Northwest of Iran with cold climate. For this purpose, six polygonal forms (with the same floor area and height) including square, rectangle, hexagon, octagon, hexadecagon (16-sided), and triacontadigon (32-sided) were selected to be examined. Afterward, the specified optimal form(rectangle) was surveyed with the aspect ratios of 1:1.2, 1:1.4, 1:1.6, 1:1.8, 1:2 and in the orientations of 180º, 165º, 150º, 135º, 120º, 105º SE and SW. Using the “Law of Cosines” computational method, the amount of received direct energy on vertical surfaces has been calculated and processed, for different months and during the cold and hot periods of the year. The results of the research show that the appropriate form of the buildings in the studied cities is a rectangle with an east-west orientation. The most suitable aspect ratio for the rectangular form with east-west orientation in the cities of Ardabil, Tabriz, Sanandaj, and Hamedan is 1:1.2. The appropriate orientation for the determined aspect ratio in the studied cities is 165° Southeast.
 

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High temperatures and air pollution are significant challenges in ensuring fresh air supply in the hot-humid climate of Asalouye City. These conditions compel residents to rely heavily on mechanical cooling, which subsequently escalates energy consumption and deteriorates indoor air quality. The primary air pollutants include Particulate Matter (PM), Volatile Organic Compounds (VOCs), and microorganisms. Fiber filters and electrostatic filters are the most common methods for purifying PMs from the air, with the electrostatic method offering advantages such as high efficiency, the ability to remove a wide range of particles, low-pressure drop, and no need for frequent replacement. This study proposed a ventilation system integrating a window,
a precipitator using electrostatic technology, a cooling coil, and an exhaust fan. The system's performance was evaluated using CFD simulation in Ansys-Fluent software (2021) to assess its effectiveness in reducing PM concentrations, pre-cooling incoming air, and maintaining the standard ventilation rate. The findings revealed that at air velocities of 6 m/s and 1 m/s, the system could completely remove copper, nickel, and sulfur particles with diameters of 0.1 µ and 10 µ. Additionally, the distance between the system's air inlet (window opening) and its air outlet (where air enters the interior) significantly influences the particle reduction level. The proposed cooling coil, however, only managed to reduce the air temperature by 2°C. In the absence of wind, an exhaust fan with a pressure jump of at least 250 Pa or 500 Pa is necessary to achieve the standard airflow and ventilation rate.
 

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Design is a fundamental, problem-oriented, purposeful, and comprehensive activity. Despite the widespread use of computers in architecture, more than three decades after their introduction, the design process is still predominantly carried out by humans, starting with hand-drawn sketches which are later translated into digital formats via software. This is due to the fact that computers lack inherent design intuition, which remains a significant challenge in automating the architectural design process. This study aims to explore a novel approach that integrates artificial intelligence (AI) algorithms for the automatic generation of architectural plans. The goal is to develop a system capable of producing designs that meet user requirements while adhering to established rules, regulations, and design standards. The central hypothesis of this research posits that by combining evolutionary algorithms with machine learning techniques, it is possible to create a process that allows machines to approximate a form of design intuition. The methodology of this research includes a combination of literature review, documentation analysis, and quantitative data analysis. The study employs genetic algorithms, supervised learning algorithms, and Python libraries. The findings indicate that using feature vectors for supervised learning can facilitate the identification of optimal designs, thereby introducing a degree of "relative intuition" into machines. Additionally, the application of genetic algorithms for exploring the design space and optimizing plans based on the dimensions of the user's land proves to be effective. Finally, by storing design process experiences through algorithms, it is possible to create a foundation for reinforcement learning, which improves the system’s performance over time. In conclusion, the study presents the Automated Design Intelligence (ADI) Theory as a new theoretical framework for automating architectural design, offering a potential shift in how design processes can be approached through AI and machine learning.