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Abdirad, H, Dossick, C S, Johnson, B R and Migliaccio, G (2021) Disruptive information exchange requirements in construction projects: perception and response patterns. Building Research & Information, 49(02), 161–78.

Albadra, D, Elamin, Z, Adeyeye, K, Polychronaki, E, Coley, D A, Holley, J and Copping, A (2021) Participatory design in refugee camps: comparison of different methods and visualization tools. Building Research & Information, 49(02), 248–64.

Cheng, J C P, Chen, K, Wong, P K, Chen, W and Li, C T (2021) Graph-based network generation and CCTV processing techniques for fire evacuation. Building Research & Information, 49(02), 179–96.

Sibilla, M and Kurul, E (2021) Exploring transformative pedagogies for built environment disciplines: the case of interdisciplinarity in low carbon transition. Building Research & Information, 49(02), 234–47.

Suchocki, C, Błaszczak-Bąk, W, Janicka, J and Dumalski, A (2021) Detection of defects in building walls using modified OptD method for down-sampling of point clouds. Building Research & Information, 49(02), 197–215.

  • Type: Journal Article
  • Keywords: Optimum dataset method; terrestrial laser scanning; high-resolution scanning; down-sampling; defect detection;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2020.1729687
  • Abstract:
    Terrestrial laser scanning is a simple and nondestructive method for the high-accuracy, three-dimensional mapping of buildings and structures. It yields a high-resolution point cloud, allowing for comprehensive and reliable diagnosis of the target building. However, there are difficulties in processing such large datasets. Commercial software typically reduces the datasets using random methods, resulting in the loss of useful information. Herein, we propose a modified optimum dataset (OptD) method for performing diagnostic measurements on buildings. The modified OptD method allows the retention of more points corresponding to areas of interest, such as those with cracks, cavities, and other surface imperfections, and removal of redundant information related to flat and homogeneous surface walls. We propose two approaches for reducing the size of the datasets while simultaneously detecting the imperfections in building walls. The first is to down-sample the datasets in the OXYZ coordinate system to improve the detection of defects corresponding to geometric changes (e.g. cracks and cavities). The second is to down-sample the datasets in the OXYI coordinate system (where I is the laser intensity) to improve the detection accuracy for defects corresponding to changes in the physicochemical properties of the surface (e.g. moisture content, weathering, salt blooming, and biodeterioration).

Wang, Y, Xue, X, Yu, T and Wang, Y (2021) Mapping the dynamics of China’s prefabricated building policies from 1956 to 2019: a bibliometric analysis. Building Research & Information, 49(02), 216–33.