Architecture is a discipline that contributes to science when it is related to the construction of buildings and art when it is related to the pleasure of the viewer and the user of these buildings. Aesthetics is the discipline that studies the pleasure of humans and how people approach the world through their senses. Humancomputer interaction advances every day in our life. This paper discusses concepts behind architecture aesthetic evaluation methodologies by humans and Artificial Intelligence (AI). The first part of this paper identifies some philosophers with their theories about aesthetics that helps in understanding how people were concerned about art and how they relate it to their life. Also, the discussion about neuroaesthetics helps in studying the biological basis of aesthetic experience. The second part discusses recent applications of AI in evaluating aesthetics and how people interact with AI and how to build a reliable AI system that people will enjoy interacting with it. The third part distinguishes AI methods that are used in architecture that help in storing and analyzing huge amounts of data that the human brain can`t interpret. Finally, the paper concludes with the main guidelines for establishing an integrated system for architectural aesthetics evaluation.
The world is moving towards reuse, recycling, and low economic buildings in the AEC industry. Among these concepts, the reuse of shipping containers (SC) in architecture has seen a remarkable increase in recent times. Few studies have focused on the thermal performance of different stacking configurations using multiple SCs in hot climates to achieve the most suitable thermal performance and testing different passive design techniques. This study aims to know the most effective stacking configuration as a passive technique not tested before using SC as residential spaces in Cairo by analyzing its effect on their internal thermal performance. This paper presents a comparative analysis of four simulation models as separate residential units, including a control unit, an uninsulated SC, and three types of different configurations, three units horizontally connected, three units vertically connected, and the last model consists of three units connected both horizontally and vertically. The thermal performance of these units is tested as uninsulated SCs in the hottest and coldest days (23 August and 20 January, respectively) in the year using Design-Builder software. The paper concludes that the best configuration of SCs models that contribute to improving SC’s thermal performance in the hot climate is the vertical stacking configuration.
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