Analysis of Monitoring Data for the Safety Control of Dams Using Neural Networks
Abstract
Concrete dam deformations are usually managed using a system of instruments set at various sections which control dam inclination, air and concrete temperature, water level and weather conditions. The study of monitored data is of the outmost importance for the assessment of both the structure and the basin. The implementation of mathematical model to correlate ambient variables and dam deformations is performed in order to gain a forecasting tool able to define critical thresholds for dam management.
- Publication:
-
New Trends in Fluid Mechanics Research
- Pub Date:
- 2009
- DOI:
- 10.1007/978-3-540-75995-9_107
- Bibcode:
- 2009ntfm.book..344P