Identification of Linear Structural Dynamic Systems

摘要: This paper studies methods of parameter estimation for linear multi-degree-of-freedom structural dynamic systems, based on observed records the external forces and responses. The auto-regressive moving-average (ARMA) model is used this purpose. It found that ARMA a convenient representing systems highly compatible with instrumental variable method maximum likelihood identification. In order to check accuracy methods, analytical simulation are performed basis simulated data dealing aerodynamic coefficient matrices appear in equations motion two-dimensional suspension bridge. Then, these applied same identify using field measurement yielding good estimates system parameters even under large output noise conditions.