Pennoni’s Intelligent Infrastructure Systems (IIS) developed strategies for the integration of NDE data (from the RABIT™ Bridge Deck Assessment Tool) with structural performance data (from THMPER™ – Targeted Hits for Modal Parameter Estimation and Rating and Structural Health Monitoring) to fuse the disparate data collected under the FHWA LTBP Program. A broad range of approaches will be considered that include both non-physics-based and physics-based modeling. Non-physics-based modeling refers to a class of fusion approaches that employ statistical and data mining tools to improve the reliability of data and its correlation with desired response indices or attributes. Physics-based modeling, on the other hand, makes use of the principles of physics (such as equilibrium, kinematics, diffusion etc.) to supplement field collected data to improve its reliability and facilitate its interpretation.
Pennoni’s Intelligent Infrastructure Systems (IIS) developed strategies for the integration of NDE data (from the RABIT™ Bridge Deck Assessment Tool) with structural performance data (from THMPER™ – Targeted Hits for Modal Parameter Estimation and Rating and Structural Health Monitoring) to fuse the disparate data collected under the FHWA LTBP Program. A broad range of approaches will be considered that include both non-physics-based and physics-based modeling. Non-physics-based modeling refers to a class of fusion approaches that employ statistical and data mining tools to improve the reliability of data and its correlation with desired response indices or attributes. Physics-based modeling, on the other hand, makes use of the principles of physics (such as equilibrium, kinematics, diffusion etc.) to supplement field collected data to improve its reliability and facilitate its interpretation.