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• W2912082832 abstract "Extensive research has been devoted to engineering analysis in the presence of only parameter uncertainty. However, in modeling process, model-form uncertainty arises inevitably due to the lack of information and knowledge, as well as assumptions and simplifications made in the models. It is undoubted that model-form uncertainty cannot be ignored. To better quantify model-form uncertainty in vibration systems with multiple degrees-of-freedom, in this paper, fractional derivatives as model-form hyperparameters are introduced. A new general model calibration approach is proposed to separate and reduce model-form and parameter uncertainty based on multiple fractional frequency response functions (FFRFs). The new calibration method is verified through a simulated system with two degrees-of-freedom. The studies demonstrate that the new model-form and parameter uncertainty quantification method is robust." @default.
• W2912082832 created "2019-02-21" @default.
• W2912082832 creator A5007996483 @default.
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• W2912082832 date "2019-03-14" @default.
• W2912082832 modified "2023-09-24" @default.
• W2912082832 title "Model-Form and Parameter Uncertainty Quantification in Structural Vibration Simulation Using Fractional Derivatives" @default.
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• W2912082832 doi "https://doi.org/10.1115/1.4042689" @default.
• W2912082832 hasPublicationYear "2019" @default.
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