Yazar "Delerel, Zehra" seçeneğine göre listele

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    Decoding ivy behavior for a performative flow model
    (Cambridge University Press, 2025-05-27) Kahraman, Ataberk; Cimşit Koş, Fitnat; Delerel, Zehra; Kavurmacıoğlu, Özgür; Ozar, Betül
    Ivy plants exhibit a biologically driven growth pattern that intertwines adaptation with structural interaction. Their ability to climb vertical surfaces, such as walls and trees, establishes a complex relationship with built environments. This study develops a computational model to analyze ivy’s growth behavior and water absorption dynamics, utilizing parametric design techniques for an integrative simulation. Through Python scripting in Rhino, growth and flow parameters were systematically modeled to replicate natural processes. The first experiment simulates ivy’s exploratory growth, visualizing its organic expansion through curves and mass structures. Beyond adherence to surfaces, ivy interacts with material properties, particularly mortar, which retains moisture. As ivy roots absorb this water, mortar dries, leading to material degradation. To capture this phenomenon, the second experiment employs a dynamic flow simulation, illustrating how moisture migrates through walls and how ivy’s absorption alters its distribution over time. Furthermore, the model examines the long-term impact of ivy on structural integrity, where root penetration widens mortar joints, accelerating architectural decay. By integrating principles from complex adaptive systems and performative design, the study emphasizes self-organizing behaviors within dynamic environments. Flow-based models require an elastic topology that responds to natural forces, reinforcing bio-responsive design strategies. This research provides insights into material resilience, ecological interdependencies, and regenerative design, contributing to discussions on responsive architecture. The proposed computational framework enhances the understanding of nature’s influence on built environments, offering strategies for sustainable architectural adaptation.
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    Parametric material autopsies for generative crafting
    (Taylor and Francis Ltd., 2025-06-23) Kavurmacıoğlu, Özgür; Ozar, Betül; Çimşit Koş, Fitnat; Delerel, Zehra
    This research investigates the intersection of parametric design, AI-driven exploration, and bio-tectonic strategies to develop adaptive, ecologically responsive urban modules. By transforming industrial waste into responsive components, the study integrates digital and analog into a cohesive design process. The methodology is structured around three core practices: “Parametric Autopsies of Local Upcycling Material”, “AI-Driven Design Exploration”, and “Constructive Bio-tectonic Scenarios for Regenerative Environments”. These practices foster dynamic, site-specific solutions that align with ecological principles, creating scalable frameworks for sustainable urban regeneration. Findings demonstrate that combining parametric material autopsies, generative AI, and hybrid fabrication can lead to innovative design interfaces. These prototypes showcase the potential of integrating upcycled materials into nature responsive urban systems, paving the way for resilient, green cities that support both human and ecological well-being. This study lays the groundwork for future explorations in regenerative architecture, offering a vision for collaborative, adaptive urban environments.
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    Transcalar bio-tectonics: unveiling responsive potential in architecture
    (Taylor and Francis Ltd., 2025-06-23) Çimşit Koş, Fitnat; Delerel, Zehra; Ozar, Betül; Kavurmacıoğlu, Özgür
    This paper examines the concept of scale not merely as a measurement but as an interaction, introducing “transcalar tectonics” as an approach to address complex, multi-scalar environmental challenges. Conducted within the Transcalar Lab—a first-year architectural design studio—the study explores combining physical and digital interfaces through tectonic experimentation, contributing to the emerging field of bio-materials and bio-oriented design. Utilizing bio-materials and AI tools such as ChatGPT, Krea, Midjourney, and Runway, this research constructs a transcalar prototype that bridges micro to macro scales, highlighting the unique challenges posed by suppressed or disappearing scales. Through three iterative experiments, bio-materials are developed, AI-driven articulation potentials are explored, and a transcalar prototype is constructed. The findings reveal that micro and macro scale interactions challenge traditional form-making, shifting focus toward responsive, bio-oriented structures that transcend hierarchical scale. Ultimately, this research suggests a new paradigm in sustainable design, bridging structure and architecture with ecological, bio-responsive approach.