BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites

Dominique Chamoret; SáEbastien Salmon; Noelie Di Cesare; Yingjie J. Xu

doi:10.1007/978-3-319-12970-9_18

BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites

Dominique Chamoret
, SáEbastien Salmon
, Noelie Di Cesare
, Yingjie J. Xu

School of Mechanical Engineering

Université de technologie de Belfort Montbéliard
Optimization Command and Control Systems

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

The thermal residual stresses (TRS) induced in ceramic matrix composites (CMCs) with multi-layered interphases when cooling down from the processing temperature, have a significant influence on the mechanical behavior and lifetime of CMCs. The objective of this work is to minimize the TRS of the unidirectional CMCs with multilayered interphases by controlling the interphases thicknesses. A new Particle Swarm Optimization (PSO) algorithm is interfaced with a finite element code to find an optimal design and thereby significantly reduce the TRS within CMCs. This new PSO allows a faster convergence rate and gets a new effective stopping criteria based on real physical limits.

Original language	English
Pages (from-to)	166-174
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8472
DOIs	https://doi.org/10.1007/978-3-319-12970-9_18
State	Published - 2014

Keywords

Ceramic matrix composites
Finite element analysis
Microstructure modeling
Particle Swarm Optimization
Radius improvement
The BSG-Starcraft improvement
Thermal residual stresses

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10.1007/978-3-319-12970-9_18

Cite this

Chamoret, D., Salmon, S., Cesare, N. D., & Xu, Y. J. (2014). BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8472, 166-174. https://doi.org/10.1007/978-3-319-12970-9_18

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title = "BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites",

abstract = "The thermal residual stresses (TRS) induced in ceramic matrix composites (CMCs) with multi-layered interphases when cooling down from the processing temperature, have a significant influence on the mechanical behavior and lifetime of CMCs. The objective of this work is to minimize the TRS of the unidirectional CMCs with multilayered interphases by controlling the interphases thicknesses. A new Particle Swarm Optimization (PSO) algorithm is interfaced with a finite element code to find an optimal design and thereby significantly reduce the TRS within CMCs. This new PSO allows a faster convergence rate and gets a new effective stopping criteria based on real physical limits.",

keywords = "Ceramic matrix composites, Finite element analysis, Microstructure modeling, Particle Swarm Optimization, Radius improvement, The BSG-Starcraft improvement, Thermal residual stresses",

author = "Dominique Chamoret and S{\'a}Ebastien Salmon and Cesare, \{Noelie Di\} and Xu, \{Yingjie J.\}",

year = "2014",

doi = "10.1007/978-3-319-12970-9\_18",

language = "英语",

volume = "8472",

pages = "166--174",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

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Chamoret, D, Salmon, S, Cesare, ND & Xu, YJ 2014, 'BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8472, pp. 166-174. https://doi.org/10.1007/978-3-319-12970-9_18

BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites. / Chamoret, Dominique; Salmon, SáEbastien; Cesare, Noelie Di et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8472, 2014, p. 166-174.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - BSG-starcraft radius improvements of particle swarm optimization algorithm

T2 - An application to ceramic matrix composites

AU - Chamoret, Dominique

AU - Salmon, SáEbastien

AU - Cesare, Noelie Di

AU - Xu, Yingjie J.

PY - 2014

Y1 - 2014

N2 - The thermal residual stresses (TRS) induced in ceramic matrix composites (CMCs) with multi-layered interphases when cooling down from the processing temperature, have a significant influence on the mechanical behavior and lifetime of CMCs. The objective of this work is to minimize the TRS of the unidirectional CMCs with multilayered interphases by controlling the interphases thicknesses. A new Particle Swarm Optimization (PSO) algorithm is interfaced with a finite element code to find an optimal design and thereby significantly reduce the TRS within CMCs. This new PSO allows a faster convergence rate and gets a new effective stopping criteria based on real physical limits.

AB - The thermal residual stresses (TRS) induced in ceramic matrix composites (CMCs) with multi-layered interphases when cooling down from the processing temperature, have a significant influence on the mechanical behavior and lifetime of CMCs. The objective of this work is to minimize the TRS of the unidirectional CMCs with multilayered interphases by controlling the interphases thicknesses. A new Particle Swarm Optimization (PSO) algorithm is interfaced with a finite element code to find an optimal design and thereby significantly reduce the TRS within CMCs. This new PSO allows a faster convergence rate and gets a new effective stopping criteria based on real physical limits.

KW - Ceramic matrix composites

KW - Finite element analysis

KW - Microstructure modeling

KW - Particle Swarm Optimization

KW - Radius improvement

KW - The BSG-Starcraft improvement

KW - Thermal residual stresses

UR - https://www.scopus.com/pages/publications/84914132861

U2 - 10.1007/978-3-319-12970-9_18

DO - 10.1007/978-3-319-12970-9_18

M3 - 文章

AN - SCOPUS:84914132861

SN - 0302-9743

VL - 8472

SP - 166

EP - 174

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites

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Keywords

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