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• W1652767935 abstract "Model tuning methods based on sensitivity coefficients offer the advantage that many different types of state variables (reference responses) and design variables can be used. However, combining different types of state and design variables in a single sensitivity matrix may lead to stability problems in the updating algorithm. This problem is demonstrated when combining resonance frequencies and modal displacements as state variables in an objective function. The stability of the solution can be guaranteed by appropriate scaling of the sensitivity matrix also leading to faster convergence. Various scaling methods are explored from a statistical parameter estimation point of view. The results are illustrated with application examples." @default.
• W1652767935 created "2016-06-24" @default.
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• W1652767935 date "1995-01-01" @default.
• W1652767935 modified "2023-09-23" @default.
• W1652767935 title "Sensitivity-based Model Updating Using Multiple Types of Simultaneous State Variables" @default.
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