Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures

Tiago A. N. Silva; Maria Amélia Ramos Loja

doi:10.1007/978-94-007-4722-7_27

Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures

Tiago A. N. Silva, Maria Amélia Ramos Loja

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

7 Citations (Scopus)

Abstract

Global optimization techniques present considerable advantages when applied to non-linear and/or non-convex design spaces, where local search techniques can easily be trapped in local minima. In the present work, it is considered the application of Differential Evolution to the optimization of thermal residual stresses distribution in a sandwich panel, which is composed by an aluminium core and functionally graded outer layers. With this aim, numerical examples were carried out in order to evaluate the influence of different design parameters on the thermal residual stresses distribution. From those results, it is possible to conclude from the adequacy of the Differential Evolution strategy to minimize thermal residual stresses values, under different scenarios. It is worth to note the obtained increasing smoothness of residual stresses distribution, specially on the material transition interface.

Original language	English
Title of host publication	Computational Intelligence and Decision Making Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries
Editors	Ana Madureira, Cecilia Reis, Viriato Marques
Place of Publication	Dordrecht
Publisher	Springer Netherlands
Pages	289-299
Number of pages	11
Volume	61
ISBN (Print)	978-94-007-4722-7
DOIs	https://doi.org/10.1007/978-94-007-4722-7_27
Publication status	Published - 2013

Publication series

Name	Intelligent Systems, Control and Automation: Science and Engineering
Publisher	Springer Netherlands

Keywords

Differential evolution
Functionally graded material
Residual stresses optimization

Access to Document

10.1007/978-94-007-4722-7_27

http://www.springerlink.com/index/10.1007/978-94-007-4722-727

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Silva, T. A. N., & Loja, M. A. R. (2013). Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures. In A. Madureira, C. Reis, & V. Marques (Eds.), Computational Intelligence and Decision Making Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries (Vol. 61, pp. 289-299). (Intelligent Systems, Control and Automation: Science and Engineering). Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-94-007-4722-7_27

Silva, Tiago A. N. ; Loja, Maria Amélia Ramos. / Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures. Computational Intelligence and Decision Making Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries. editor / Ana Madureira ; Cecilia Reis ; Viriato Marques. Vol. 61 Dordrecht : Springer Netherlands, 2013. pp. 289-299 (Intelligent Systems, Control and Automation: Science and Engineering).

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abstract = "Global optimization techniques present considerable advantages when applied to non-linear and/or non-convex design spaces, where local search techniques can easily be trapped in local minima. In the present work, it is considered the application of Differential Evolution to the optimization of thermal residual stresses distribution in a sandwich panel, which is composed by an aluminium core and functionally graded outer layers. With this aim, numerical examples were carried out in order to evaluate the influence of different design parameters on the thermal residual stresses distribution. From those results, it is possible to conclude from the adequacy of the Differential Evolution strategy to minimize thermal residual stresses values, under different scenarios. It is worth to note the obtained increasing smoothness of residual stresses distribution, specially on the material transition interface.",

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author = "Silva, {Tiago A. N.} and Loja, {Maria Am{\'e}lia Ramos}",

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Silva, TAN & Loja, MAR 2013, Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures. in A Madureira, C Reis & V Marques (eds), Computational Intelligence and Decision Making Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries. vol. 61, Intelligent Systems, Control and Automation: Science and Engineering, Springer Netherlands, Dordrecht, pp. 289-299. https://doi.org/10.1007/978-94-007-4722-7_27

Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures. / Silva, Tiago A. N.; Loja, Maria Amélia Ramos.

Computational Intelligence and Decision Making Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries. ed. / Ana Madureira; Cecilia Reis; Viriato Marques. Vol. 61 Dordrecht : Springer Netherlands, 2013. p. 289-299 (Intelligent Systems, Control and Automation: Science and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

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T1 - Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures

AU - Silva, Tiago A. N.

AU - Loja, Maria Amélia Ramos

N1 - Sem PDF. Fuel Cell Technologies Program (SFRH/BD/44696/2008 FCT) Fuel Cell Technologies Program (PTDC/EME-PME/120830/2010 FCT)

PY - 2013

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N2 - Global optimization techniques present considerable advantages when applied to non-linear and/or non-convex design spaces, where local search techniques can easily be trapped in local minima. In the present work, it is considered the application of Differential Evolution to the optimization of thermal residual stresses distribution in a sandwich panel, which is composed by an aluminium core and functionally graded outer layers. With this aim, numerical examples were carried out in order to evaluate the influence of different design parameters on the thermal residual stresses distribution. From those results, it is possible to conclude from the adequacy of the Differential Evolution strategy to minimize thermal residual stresses values, under different scenarios. It is worth to note the obtained increasing smoothness of residual stresses distribution, specially on the material transition interface.

AB - Global optimization techniques present considerable advantages when applied to non-linear and/or non-convex design spaces, where local search techniques can easily be trapped in local minima. In the present work, it is considered the application of Differential Evolution to the optimization of thermal residual stresses distribution in a sandwich panel, which is composed by an aluminium core and functionally graded outer layers. With this aim, numerical examples were carried out in order to evaluate the influence of different design parameters on the thermal residual stresses distribution. From those results, it is possible to conclude from the adequacy of the Differential Evolution strategy to minimize thermal residual stresses values, under different scenarios. It is worth to note the obtained increasing smoothness of residual stresses distribution, specially on the material transition interface.

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T3 - Intelligent Systems, Control and Automation: Science and Engineering

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BT - Computational Intelligence and Decision Making Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries

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Silva TAN, Loja MAR. Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures. In Madureira A, Reis C, Marques V, editors, Computational Intelligence and Decision Making Trends and Applications, From Intelligent Systems, Control and Automation: Science and Engineering Bookseries. Vol. 61. Dordrecht: Springer Netherlands. 2013. p. 289-299. (Intelligent Systems, Control and Automation: Science and Engineering). https://doi.org/10.1007/978-94-007-4722-7_27