Author:
Doukari Omar,Kassem Mohamad,Greenwood David
Abstract
AbstractFrom its origins as a computer-aided three-dimensional modelling tool, Building Information Modelling (BIM) has evolved to incorporate time scheduling, cost management, and ultimately an information management framework that has the potential to enhance decision-making throughout the whole life-cycle of built assets. This chapter summarises state-of-the-art BIM and its benefits. It then considers the particular characteristics of deep renovation projects, the challenges confronting their delivery, and the potential for using BIM to meet the challenges. This includes the application of Artificial Intelligence (AI) and Machine Learning (ML) to BIM models to optimise deep renovation project delivery. The prospects for this are encouraging, but further development work, including the creation of ontologies that are appropriate for renovation work, is still needed.
Publisher
Springer International Publishing
Reference45 articles.
1. Abanda, F. H., & Byers, L. (2016). An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling). Energy, 97, 517–527.
2. Acampa, G., Diana, L., Marino, G., & Marmo, R. (2021). Assessing the transformability of public housing through BIM. Sustainability, 13(10), 5431.
3. Amorocho, J. A. P., & Hartmann, T. (2021). Reno-Inst: An ontology to support renovation projects planning and renovation products installation. Advanced Engineering Informatics, 50, 101415.
4. Aouad, G., Lee, A., & Wu, S. (2006). Constructing the future: nD modelling. Routledge.
5. Autodesk. (2002). Building Information Modeling. Autodesk Building Industry Solutions. Retrieved April 18, 2022, from http://www.laiserin.com/features/bim/autodesk_bim.pdf
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献