Abstracts – Browse Results
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Abdalazeem, M E, Hassan, H, Asawa, T and Mahmoud, H (2024) Green roofs and thermal comfort: a comparative study of soil layers’ seasonal thermal performance integrated with ventilation in hot climate. Architectural Engineering and Design Management, 20(02), 358–89.
Altay, B and Salcı, E (2024) Exploring designers’ finishing materials selection for residential interior spaces. Architectural Engineering and Design Management, 20(02), 269–86.
Aslay, S E and Dede, T (2024) Reduce the construction cost of a 7-story RC public building with metaheuristic algorithms. Architectural Engineering and Design Management, 20(02), 214–29.
EL-Mahdy, D and Ali, M (2024) Assessing the solar radiation performance of self-shaded 3D-printed clay-based façades. Architectural Engineering and Design Management, 20(02), 249–68.
Fan, C (2024) Using convolutional neural networks to identify illegal roofs from unmanned aerial vehicle images. Architectural Engineering and Design Management, 20(02), 390–410.
Gokyigit Arpaci, E Y, Eksi Akbulut, D and Yildiz, O (2024) Enhancing water resistance of earthen buildings by using admixture materials. Architectural Engineering and Design Management, 20(02), 320–36.
Pérez-Valcárcel, J, Aragón, J, Muñiz, S, Freire-Tellado, M and Mosquera, E (2024) Transportable temporary homes with folding roof. Architectural Engineering and Design Management, 20(02), 337–57.
Ren, S, Qiang, G, Tang, S, Zhang, C, Seo, H and Wu, K (2024) An automatic design-feedback process for structural prefabricated components quantity take-off calculation using BIM. Architectural Engineering and Design Management, 20(02), 287–302.
Sohani, H, Hosseini Nourzad, S H and Saghatforoush, E (2024) The optimized form of building made from the reused elements. Architectural Engineering and Design Management, 20(02), 191–213.
- Type: Journal Article
- Keywords: Sustainability; circular economy; resource efficiency; reuse; means-oriented design;
- ISBN/ISSN: 1745-2007
- URL: https://doi.org/10.1080/17452007.2023.2285344
- Abstract:
A resource-effective society considers a circular economy, and this attitude enters the construction industry as well. Various circular building approaches and strategies are introduced to promote a circular economy. However, the design process is complex because it evolves from available components. To address such a gap, in this article, we address design adjustments with the aim of maximizing the reusing of components from an architectural viewpoint, utilizing an applied research method. To achieve the goal, mathematical programming is suggested to make the best use of available components bearing a system approach in circular design in mind. The objective function is the allocation of reclaimed building materials and the decision variables are the needed components. The issue was categorized as integer nonlinear programming (INLP) solved for global optimality utilizing a genetic algorithm (GA). Design variants define different component allocations; thus, the optimum allocation defines the evolved design. Mathematical programming permits defining component allocation variants and the constraints associated with the project. The result of optimization defines the optimum allocation; consequently, it defines the evolved design. The presented procedure is an innovative method that aims to simplify the complexity associated with adjusting the design based on available components. It promotes procurement efficiency because it makes the best use of available material. Moreover, the minimum energy consumption for transportation due to local material usage leads to reuse efficiency.
Wang, C, Gao, F, Cui, B, Huang, M M, Wu, M, Mao, L and Zheng, A (2024) Geometric quality assessment of precast concrete (PC) elements based on 3D structural light scanning. Architectural Engineering and Design Management, 20(02), 303–19.
Yuan, Z, Wang, H, Yang, Y, Yi, C, Huang, D and Yu, D (2024) Improving the construction accuracy of precast components in prefabricated buildings by analyzing relevant factors from the perspective of supply chain: a system dynamics model. Architectural Engineering and Design Management, 20(02), 230–48.