About Session
The presentation will show how integrating BIM (Building Information Modeling) web viewers with service life models of different materials can enhance predictive maintenance strategies. This integration allows for the creation of digital twins that more accurately reflect the real-time condition and projected lifespan of various building materials. By coupling BIM viewers with temporal data and detailed material-specific service life models, facility managers and engineers can anticipate maintenance needs with greater precision. This approach enables the identification of potential material degradation before it becomes critical, facilitating timely interventions that help maintain the integrity and functionality of building components. Case studies demonstrating the effectiveness of this approach in extending the durability and operational efficiency of building materials will be presented. These examples will highlight how predictive maintenance, driven by a deep understanding of material lifecycles, not only prevents unexpected failures but also optimizes resource use and reduces overall maintenance costs. Attendees will gain insights into how the integration of BIM technology with material-specific service life models can enhance maintenance practices, leading to more sustainable, efficient, and cost-effective management of building infrastructure.
