The invention belongs to the technical field of bridge
structure health monitoring, and discloses a suspension bridge
structure system identification method based on
observability and state
estimation and a high-efficiency
algorithm thereof. According to the characteristics of different components of the suspension bridge, an
observability state equation of the suspension bridge is established, the
identifiability problem of unit parameters is converted into the solvability problem of a mathematical equation, a Jacobian matrix is constructed in combination with a state
estimation high-efficiency
algorithm (OM-SE), explicit mapping between measurement data and state variables is achieved, and the measurement accuracy of the suspension bridge is improved. And the parameter identification precision and the calculation efficiency are improved. The overall
rigidity matrix is established through the parabola main cable unit, the Euler-Bernoulli beam unit and the direct rigidity method, parameter inversion is performed by adopting a double-layer
iteration process, the method is suitable for identifying the bending rigidity of the main beam and the
axial rigidity of the cable of the large-span suspension bridge, and the method is verified through a reduced
scale model test and an actual suspension bridge numerical value case, and the method is suitable for identifying the bending rigidity of the main beam and the
axial rigidity of the cable of the large-span suspension bridge. The
identification error is controlled within 5%, and the calculation efficiency is improved by more than 70%.