Embedding Model-form Uncertainty in Probabilistic Calibration of Digital Twins for Bridges

Digital twins of bridges rely on physics-based models to infer full-field structural responses from sparse monitoring data. The reliability of these predictions depends on the calibration of model parameters while accounting for discrepancies between the model and the physical system. Such discrepan