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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.

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.

  • Type: Journal Article
  • Keywords: Geometric quality assessment; structural light scanning; precast concrete; deviation chromatogram; 3D reconstruction;
  • ISBN/ISSN: 1745-2007
  • URL: https://doi.org/10.1080/17452007.2023.2264300
  • Abstract:
    The geometric quality of precast concrete (PC) elements is critical in the construction and management of prefabricated construction. However, traditional manual inspection is time-consuming, inaccurate and costly. Therefore, an effective and low-cost non-contact inspection method is needed to support the geometric quality inspection of PC elements as a way to improve inspection efficiency and accuracy. In this study, an intuitive, effective and inexpensive geometric quality inspection method is proposed to evaluate the geometric quality of PC elements using 3D structural light scanning technology. The proposed method fits the point cloud data model of PC elements to the design model, visualizes the range of dimensional deviation of the whole element by the generated deviation chromatogram, and then evaluates the overall geometric quality of PC elements based on the local absolute deviation distance and the average deviation distance. The evaluation results classify PC elements into qualified products, partially unqualified products and severely defective products, which can be directly used to guide the treatment of unqualified products. The method is highly integrated with realistic construction and has a strong practical value. This study enriches the means of assessing the geometric quality of PC elements and shows potential for implementation in real practice.

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.