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Neural Parameter Calibration for Identification of Nonlinear Hysteretic Behavior in Bolted Joints
A neural calibration framework is presented for estimating the nonlinear hysteretic behavior of jointed structures using the parameters of the Bouc-Wen model, which serves as a reduced-order representation of bolted joints under dynamic excitation. This methodology integrates data-driven modeling, physics-based represe...