BIM Digital twins environment to enhance construction process

Abstract

Nowadays, the quality of life is mostly related to the quality of construction. Poor performance of construction project could be related to the poor quality of used construction materials but also to the unsuitable construction processes. BIM methodology adopted an innovative and more effective workflow in construction process. Benefits of BIM are widely recognized and documented including enhanced communication and collaboration between stakeholders, effective decision-making and monitoring, reduced construction cost and duration, etc. However, there is a lot of construction process related information outside of BIM methodology like ERP and building automation system. Digital Twins (DTs) contribute to smart construction through the integration of artificial intelligence, machine learning and data analytics. As construction projects are getting more complex and need more advanced and integrated tools to achieve economic and sustainability objectives, this work proposes a new construction system using the power of digital twins (DTs) and BIM to improve construction process. Genetic algorithm is used to optimize repetitive floor construction cycle. it is reasonable to expect a reduction of 25% of unused resources, which greatly improves site productivity and obtain better economic efficiency. In addition, the working and safety conditions of workers are improved since daily rates of working hours are balanced.