Optimization of Load-Bearing concrete Wall Using Genetic Algorithm To achieve Mechanically Integrated Behavior. | ||
| The International Conference on Civil and Architecture Engineering | ||
| Volume 13, Issue 13, July 2020, Pages 1-13 PDF (1.27 M) | ||
| Document Type: Original Article | ||
| DOI: 10.1088/1757-899X/974/1/012011 | ||
| Authors | ||
| Sara N. Elkabany* 1; Ahmed M. Elkordy2; Hesham A. Sobh3 | ||
| 1Assistant lecturer at Architecture Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt. | ||
| 2Professor & Head of Architecture Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt. | ||
| 3Professor of Architecture & Vice Dean of Faculty of Engineering, Al-Azhar University, Cairo, Egypt. | ||
| Abstract | ||
| This paper proposes mechanical and growth characteristics of nature that inspire shapes to be applied to load-bearing walls. The problem is that this type of buildings needs a high cost due to its design without using optimization processes that have a big role in reducing cost while maintaining the required aesthetic shape. In this study, this is performed by analyzing the case studies of O-14 Building, Victoria Gate and The Broad Museum where the building materials used differ from case to case. A model was created through the SolidThinking Inspire program using the morphogenesis tool. The model design is based on the algorithm for topology optimization and will be compared in terms of structural and material performance with the selected case studies. Optimization results are found to be effective and designed with maximum stiffness in order to prevent deformation which is clearly reflected in the cost estimate in the initial design stages. | ||
| Keywords | ||
| Genetic Algorithm; Topology Optimization; Load Bearing Walls; Generative Design; 3D printing | ||
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