The goal of this chapter is to demonstrate a practical application of the maximum entropy method. While there are multiple approaches to quantifying uncertainty (both aleatoric and epistemic), the maximum entropy method is commonly used to study joint mechanics due to the high epistemic uncertainty in these systems. The maximum entropy method is applied to the Ampair 600 Wind Turbine. Experimental data is used to drive the development of several numerical models. Results demonstrate that accounting for aleatoric uncertainty alone will lead to nonconservative predictions of the system response. However, once epistemic uncertainty is included in the model, results span the complete set of measured responses.

Quantifying Epistemic and Aleatoric Uncertainty in the Ampair 600 Wind Turbine / Robertson Brett, A.; Bonney Matthew, S.; Gastaldi, Chiara; Brake Matthew, R. W.. - ELETTRONICO. - (2017), pp. 651-672. [10.1007/978-3-319-56818-8_36]

Quantifying Epistemic and Aleatoric Uncertainty in the Ampair 600 Wind Turbine

GASTALDI, CHIARA;
2017

Abstract

The goal of this chapter is to demonstrate a practical application of the maximum entropy method. While there are multiple approaches to quantifying uncertainty (both aleatoric and epistemic), the maximum entropy method is commonly used to study joint mechanics due to the high epistemic uncertainty in these systems. The maximum entropy method is applied to the Ampair 600 Wind Turbine. Experimental data is used to drive the development of several numerical models. Results demonstrate that accounting for aleatoric uncertainty alone will lead to nonconservative predictions of the system response. However, once epistemic uncertainty is included in the model, results span the complete set of measured responses.
9783319568188
978-3-319-56816-4
The Mechanics of Jointed Structures
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2677054
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