ENAC Seminar Series by Dr R. Napolitano
Event details
| Date | 24.09.2019 |
| Hour | 13:00 › 14:00 |
| Speaker | Dr Rebecca Napolitano |
| Location | |
| Category | Conferences - Seminars |
13:00 – 14:00 – Dr Rebecca Napolitano
PhD Candidate, Princeton University, USA
Old buildings, new life: Digital solutions for diagnosing existing infrastructure
Reduce. Reuse. Recycle. This is an oft-touted mantra in a world combating climate change, deforestation, overflowing landfills, and depletion of natural resources. As a society, we have embraced this lifestyle when it comes to plastics, cans, and even electronics; however, the idea has not entirely caught on for the built environment. While a building is far more complex than a water bottle, is it not just as important to reuse or recycle? Before a structure can be retrofit, adapted for reuse, or preserved, a detailed diagnostic assessment is needed to provide vital information about the health of a structure. By understanding the performance and condition of a structure, proper monitoring plans can be laid out, funding can be allocated in advance, and maintenance can move from being reactive to predictive.
This research focuses on digital solutions for diagnostics of existing infrastructure such as data extraction, multi-modal data fusion, hybrid analytics, and information modeling. Specifically in this talk, two of those core aspects will be discussed: multi-modal data fusion and hybrid analytics (combination of physics-based modeling and data-driven modeling). The results of the methods developed were benchmarked against experimental testing and applied to case studies such as the Baptistery di San Giovanni and Palazzo Vecchio in Florence, Italy. Through the application of these novel methods to case studies, the critical role that digital solutions play for diagnostics in preservation and reuse efforts for developing the next generation of smart and green infrastructure will be explored.
PhD Candidate, Princeton University, USA
Old buildings, new life: Digital solutions for diagnosing existing infrastructure
Reduce. Reuse. Recycle. This is an oft-touted mantra in a world combating climate change, deforestation, overflowing landfills, and depletion of natural resources. As a society, we have embraced this lifestyle when it comes to plastics, cans, and even electronics; however, the idea has not entirely caught on for the built environment. While a building is far more complex than a water bottle, is it not just as important to reuse or recycle? Before a structure can be retrofit, adapted for reuse, or preserved, a detailed diagnostic assessment is needed to provide vital information about the health of a structure. By understanding the performance and condition of a structure, proper monitoring plans can be laid out, funding can be allocated in advance, and maintenance can move from being reactive to predictive.
This research focuses on digital solutions for diagnostics of existing infrastructure such as data extraction, multi-modal data fusion, hybrid analytics, and information modeling. Specifically in this talk, two of those core aspects will be discussed: multi-modal data fusion and hybrid analytics (combination of physics-based modeling and data-driven modeling). The results of the methods developed were benchmarked against experimental testing and applied to case studies such as the Baptistery di San Giovanni and Palazzo Vecchio in Florence, Italy. Through the application of these novel methods to case studies, the critical role that digital solutions play for diagnostics in preservation and reuse efforts for developing the next generation of smart and green infrastructure will be explored.
Practical information
- General public
- Free
Organizer
- ENAC
Contact
- Cristina Perez