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The time domain modal identification problem is here reduced to an eigenvalue problem of a sparse upper Hessenberg matrix.
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This has enabled many of the developments in the field of BSS to be modified and applied to output-only modal identification problems.
The approach views modal identification as an inference problem where probability is used as a measure for the relative plausibility of outcomes given a model of the structure and measured data.
The modal identification using forward autoregressive approach has some problems in discriminating the structure modes from spurious modes.
The unknown parameters are identified to be the solution to an optimisation problem, which involves using the sensitivity analysis and scatters of the modal identification.
In order to do this, the damage identification problem is formulated as an optimization problem where the damage extent of elements and the modal flexibility change are taken as the continuous design variables and the objective function, respectively.
We revisit the optimal sensor placement of engineering structures problem with an emphasis on in-plane dynamic strain measurements and to the direction of modal identification as well as vibration-based damage detection for structural health monitoring purposes.
The constrained finite strip model provides a means to perform both modal identification relevant to the buckling types, and model reduction as the number of degrees of freedom required in the problem can be reduced extensively.
The identification problem.
A nonlinear modal identification is then performed.
Modal identification has been done using global method of modal identification.
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