Scott Bing
Univ. Lille, Centrale Lille, France

Thomas Danel
Univ. Lille, Centrale Lille, France

Zoubeir Lafhaj
Univ. Lille, Centrale Lille, France

Benjamin N'Guyen
Bouygues Construction

Laure Ducoulombier
Bouygues Construction

Thierry Delvert
Bouygues Construction

ABSTRACT
The main objective of this study was external facade deviation analyses applied to prefabricated off-site concrete modules. This article is decomposed into three main parts: the first part is dedicated to the introduction and to the research background. The second part explains and details the construction project, the off-site factory, the modules as well as the use of a terrestrial laser scanner. A Framework and a data acquisition layout are also exposed. The third part elaborates, in addition to the discussion and study limitations, the main key results which were obtained. The bulging effect on the bottom half of the modules can be explained by the fact that, the greater the quantity of concrete is poured, the more the inside pressure of the formwork increases, exposing the mould’s structure to additional deformations.

DOI: https://doi.org/10.29173/mocs266

Qiuling Yang
Department of Civil & Environmental Engineering, University of Alberta

Qipei Mei
Department of Civil & Environmental Engineering, University of Alberta

Chao Fan
Department of Mechanical Engineering, University of Alberta

Meng Ma
Department of Electrical & Computer Engineering, University of Minnesota

Xinming Li
Department of Mechanical Engineering, University of Alberta

ABSTRACT
Modular construction sites are often reported as one of the most hazardous workplaces where the complex environments can lead to near misses and life-threatening collisions. To avoid contact collisions and provide a safe workplace, forecasting workers' trajectories on dynamic construction sites is demanding yet remains challenging. Existing approaches for trajectory prediction are mostly limited to only considering the objects moving information. In this paper, an environment-aware distance worker trajectory prediction model is designed to fully exploit the contextual information on construction sites. Incorporating the interactions among workers and distances between workers and static elements into the prediction model, the proposed approach offers a reliable prediction of worker positions. To further exploit the contextual cues, an environment-aware direction scheme taking directional information of the static elements into account is put forth. Extensive numerical tests on synthetic as well as modular construction datasets showcase the improved prediction performance of the proposed approaches in comparison to several state-of-the-art alternatives.

DOI: https://doi.org/10.29173/mocs268