Thermal finite element models are used to simulate the temperature distribution of a body under a certain set of boundary conditions. When short calculation times are necessary (i.e. for parametric study, active control loops, temperature monitoring algorithms, etc..), detailed FE models cannot be used and reduced order models must be developed. Reduced order models may have both generalized and physical degrees of freedom (dofs), according to the scope of the reduction. The use of generalized dofs is more suitable to simulate full-field temperature distribution of the body, while inclusion of physical dofs can be advantageous when temperature must be only computed at a small number of locations. In this paper a new reduction technique is proposed for applications where only a small set of temperatures must be computed; it is based on the Guyan reduction method and overcomes the limitations of the original Guyan reduction when applied to thermal models with a fluid network, characterized by non-symmetric matrices. The new technique is applied to a case study, consisting of a dummy turbine disk and its secondary air system in order to show the improvement with respect to the original Guyan approach.

A new reduction technique for thermal models with fluid networks / Zucca, Stefano; Botto, Daniele; Gola, Muzio. - In: JOURNAL OF THERMAL STRESSES. - ISSN 0149-5739. - 34:7(2011), pp. 667-686. [10.1080/01495739.2010.550826]

A new reduction technique for thermal models with fluid networks

ZUCCA, Stefano;BOTTO, DANIELE;GOLA, Muzio
2011

Abstract

Thermal finite element models are used to simulate the temperature distribution of a body under a certain set of boundary conditions. When short calculation times are necessary (i.e. for parametric study, active control loops, temperature monitoring algorithms, etc..), detailed FE models cannot be used and reduced order models must be developed. Reduced order models may have both generalized and physical degrees of freedom (dofs), according to the scope of the reduction. The use of generalized dofs is more suitable to simulate full-field temperature distribution of the body, while inclusion of physical dofs can be advantageous when temperature must be only computed at a small number of locations. In this paper a new reduction technique is proposed for applications where only a small set of temperatures must be computed; it is based on the Guyan reduction method and overcomes the limitations of the original Guyan reduction when applied to thermal models with a fluid network, characterized by non-symmetric matrices. The new technique is applied to a case study, consisting of a dummy turbine disk and its secondary air system in order to show the improvement with respect to the original Guyan approach.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2377902
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