Funding agency: Universidad de los Andes

Grant: FAI Initiation in Research (2016-2017)

Principal Investigator: Rodrigo Astroza

This research proposes to develop, verify, and validate novel methodologies for structural health monitoring (SHM) of civil infrastructure (buildings, bridges, dams, etc.) subjected to unmeasured seismic excitation. State-of-the-art mechanics-based nonlinear finite element models and Bayesian estimation methods (including batch and recursive approaches) will be integrated. The inverse problem (blind identification) to be solved includes unknown parameters and seismic excitation. This research intends to provide an efficient and powerful advanced methodology for damage identification of large and complex civil structures when the excitation is partially or completely unmeasured.