IGERT-ID Topics
- Mathematical & Computational Modeling
Mathematical models represent the physical system. Representation of the subtleties in the model is essential to determine robust techniques. For example, a fracture or void in a concrete deck can only be located if the analytical model represents the possibility of such conditions. More »
- System Identification
A means to determine a system's health is by Robust Model (In)Validation. A model representing normal performance is invalid when the residual between actual measurements model predictions exceed set tolerances. Model Invalidation can be a powerful tool for detecting damage in systems for which conditions allow a god reference to be established. More »
- Inverse Problems
Inverse problems that are typically based on observable parameters mapped to the quantities of interest in the model. For example, acceleration data must be collected at a sampling rate that will capture the system frequencies of interest. More »
- Experimental & Computational Validation
ID process components, including modeling methodologies, indices that represent aging, and computational algorithms will be tested and validated experimentally. We will use various well-outfitted TestBEDs at NU and UPRM and academic and industrial partners, as well as through available access to actual systems (e.g. buildings, bridges). More »
- Social, Political and Managerial
Social, political and managerial components that enter into any diagnostic scheme must be considered to ensure diagnosis results in timely and appropriate response. More »
