Application of BIM in the Design and Construction of Fabricated Buildings

Abstract

The impact of safety accidents is very serious, which will not only cause the loss of economic benefits of the project, but also harm the life safety of participants in the building site, and at the same time affect the image of construction-related enterprises and the growth of the industry. BIM as a global and digital technology, is regarded as a revolution in the building industry, which can effectively improve the building efficiency and quality. In this article, a risk assessment model of prefabricated buildings based on artificial neural network (ANN) and BIM is proposed, which can provide early warning and assessment of construction risks, so as to build a safe construction environment and provide theoretical and technical support for the design and construction of prefabricated buildings. The results show that, after many iterations, the accuracy of this method is 97.94%, which is 18.66% higher than that of particle swarm optimization (PSO), and the error is reduced by 33.75%. This algorithm solves the difficulties that traditional models are difficult to deal with highly nonlinear models and lack of adaptive ability. A reasonable safety assessment system can help constructors understand the safety management problems faced in the construction of prefabricated buildings and make accurate judgments. © 2023 CAD Solutions, LLC.