GCRIS

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Citation - WoS: 3
Citation - Scopus: 5
Deterioration of Pre-War and Rehabilitation of Post-War Urbanscapes Using Generative Adversarial Networks
(SAGE Publications, 2023) Çiçek, Selen; Turhan, Gözde Damla; Taşer, Aybüke
The urban built environment of contemporary cities confronts a constant risk of deterioration due to natural or artificial reasons. Especially political aggression and war conflicts have significant destructive effects on architectural and cultural heritage buildings. The post-war urbanscapes demonstrate the striking effects of the armed conflicts during the hot war encounters. However, the residues of the urbanscapes become the actual indicators of damage and loss. Since today we can make future predictions using a variety of machine learning algorithms, it is possible to represent hybrid projections of urban heterotopias. In this context, this research proposes to explore dystopian post-war projections for modern cities based on their architectural styles and demonstrate the utopian scenarios of rehabilitation possibilities for the damaged urban built environment of post-war cities by using generative adversarial network (GAN) algorithms. Two primary datasets containing the post-war and pre-war building facades have been given as the input data for the CycleGAN and pix2pix GAN models. Thus, two different image-to-image GAN models have been compared regarding their ability to produce legible building facade projections in architectural features. Besides, the machine learning process results have been discussed in terms of cities' utopian and dystopian future predictions, demonstrating the war conflicts' immense effects on the built environment. Moreover, the immediate consequence of the destructive aggression on tangible and intangible architectural heritage would become visible to inhabitants and policymakers when the AI-generated rehabilitation potentials have been exposed.
Generating Plan Layouts: a Case Study on Visualization of Implicit Knowledge by “doctor Architects”
(SAGE Publications, 2022) Kasalı, Altuğ
Aim: This article presents an opportunistic case with particular focus on instances from an extended procurement operation in which medical professionals run a proactive process involving the generation of layouts through distinct modes of representational practices without any actual collaboration with designers. The questions of inquiry involve an analysis on how the visualizations came into being and a discussion into the content of drawings that was shaped by individuals without any formal design education. Background: Although the literature introduces examples of genuine participation, particularly in healthcare design practices, the instances in which nondesigners demonstrate accomplished skills in spatial reasoning and representation are limited. Method: The research was formulated as a qualitative case study including a series of observations of the activities of the participants followed by interviews recorded at different locations. The investigation also focuses on the features of these authentic graphics which illustrate the intentions of the medical professionals concerning the function of spaces. Results: In this research, the participants went through a labor intensive and elaborate effort to produce “architectural representations” with the intention to convey their implicit professional expertise in the domain. The layouts were introduced to be the vital elements to visualize the implicit knowledge regarding the functioning of space. Conclusions: The productive and creative engagement of clinicians within this research makes the case for a multidisciplinary approach that reframes the limits and potential contributions of participants alongside drawings, which are exclusively claimed by and strategically employed by architects as negotiation devices within participatory design processes.

Architecture / Mimarlık

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