Browsing by Author "Kutucu, Seckin"

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Citation - WoS: 8
Citation - Scopus: 8
Addressing the High-Rise Form Finding Problem by Evolutionary Computation
(IEEE, 2015) Berk Ekici; Seckin Kutucu; I. Sevil Sariyildiz; M. Fatih Tasgetiren; Ekici, Berk; Tasgetiren, M. Fatih; Sariyildiz, I. Sevil; Kutucu, Seckin
This paper aims to examine the application of evolutionary algorithms to the form finding problem of high-rise buildings. In the light of mentioned purpose this study concentrates on the conceptual phase of the design process due to the importance of early design decisions. In this respect multi-objective real-parameter constrained optimization is considered as the method of this study in order to solve high-rise design problem. From the point of evolutionary computation we compare two evolutionary algorithms (NSGA-II and DE) focusing on their computational performance and architectural features of the resulting alternatives. Two objective functions are formulated that specifically focus on structural displacement minimization and construction cost per square meter minimization which are clearly conflicting. As a conclusion we discuss in the context of the high-rise design problem the solutions identified by the NSGA-II and DE algorithms.
Computational Design and Optimization of Discrete Shell Structures Made of Equivalent Members
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Arda Agirbas; Seckin Kutucu; Agirbas, Arda; Kutucu, Seckin
This paper presents a computational design method for generating discrete shell structures using sets of equivalent discrete members. This study addresses the challenge of reducing the geometrical variety in discrete shell elements by introducing a method to design and optimize constituent members considering their similarity approximation of the double-curved architectural surface and buildability. First we employed a relaxation-based computational form-finding method to generate a discrete topology with planar quad faces and an approximated smooth double-curved surface. Then we perform clustering and optimization based on face similarities concerning the minimization of deviations from the smooth surface approximation and the dihedral angle between the planes of neighboring elements and their optimal intersection plane. The proposed approach can reduce the geometrical differences in discrete shell elements while satisfying the user-defined error threshold. We demonstrated the viability of our method on various structured topologies with different boundary conditions support settings and total face counts while explicitly controlling inter-element facing angles for assembly ready contacts. This enables mold-based prefabrication with repeatable components. © 2025 Elsevier B.V. All rights reserved.