Spillover Phenomenon in Quadratic Model Updating
نویسندگان
چکیده
منابع مشابه
Spillover Phenomenon in Quadratic Model Updating
Model updating concerns the modification of an existing but inaccurate model with measured data. For models characterized by quadratic pencils, themeasured data usually involve incomplete knowledge of natural frequencies, mode shapes, or other spectral information. In conducting the updating, it is often desirable tomatch only the part of observed data without tampering with the other part of u...
متن کاملThe Spill-over Phenomenon in Quadratic Model Updating
Model updating concerns the modification of an existing but inaccurate model with measured data. For models characterized by quadratic pencils, the measured data usually involve incomplete knowledge of natural frequencies, mode shapes, or other spectral information. In conducting the updating, it is often desirable to match only the part of observed data without tampering with the other part of...
متن کاملModel Updating Using a Quadratic Form
The research presented in this thesis addresses the problem of updating an analytical model using a parametric Reference Basis approach. In this method, some parameters are assumed to be accurate (e.g. natural frequencies, mode shapes and mass matrix), while others are adjusted so that the eigenvalue equation is satisfied. Updating is done with the use of principal submatrices, and the method s...
متن کاملUpdating quadratic models with no spillover effect on unmeasured spectral data
Model updating concerns the modification of an existing but inaccurate model with measured data. For models characterized by quadratic pencils, the measured data usually involve incomplete knowledge of natural frequencies, mode shapes, or other spectral information. In conducting the updating, it is often desirable to match only the part of observed data without tampering with the other part of...
متن کاملModel-updating for self-adjoint quadratic eigenvalue problems
This paper concerns quadratic matrix functions of the form L(λ) = Mλ2 +Dλ+K where M,D,K are Hermitian n× n matrices with M > 0. It is shown how new systems of the same type can be generated with some eigenvalues and/or eigenvectors updated and this is accomplished without “spill-over” (i.e. other spectral data remain undisturbed). Furthermore, symmetry is preserved. The methods also apply for H...
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ژورنال
عنوان ژورنال: AIAA Journal
سال: 2008
ISSN: 0001-1452,1533-385X
DOI: 10.2514/1.31320