SALIMI, Hamidreza ;SARANJAM, Bahador ;FARD, Ahmad Hoseini ;AHMADZADEH, Mohsen . Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 58, n.3, p. 156-164, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/use-of-genetic-algorithms-for-optimal-design-of-sandwich-panels-subjected-to-underwater-shock-loading/>. Date accessed: 19 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2011.097.
Salimi, H., Saranjam, B., Fard, A., & Ahmadzadeh, M. (2012). Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading. Strojniški vestnik - Journal of Mechanical Engineering, 58(3), 156-164. doi:http://dx.doi.org/10.5545/sv-jme.2011.097
@article{sv-jmesv-jme.2011.097,
author = {Hamidreza Salimi and Bahador Saranjam and Ahmad Hoseini Fard and Mohsen Ahmadzadeh},
title = {Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {58},
number = {3},
year = {2012},
keywords = {optimization; genetic algorithm; finite element method; sandwich panel; underwater explosion; cavitation},
abstract = {Sandwich composite panels are increasingly used in the construction of marine vehicles because of their outstanding strength, stiffness and light weight properties. However, the use of composite panels comes with difficulties in the design process as a result of the large number of design variables involved, including composite material design, topologies and laminate schemes. Hence, this work deals with the presentation of an optimal design of laminated composite sandwich marine structures subjected to underwater explosion. The optimization process is performed using a genetic algorithm (GA), associated with the finite element method (FEM) for the structural analysis. In this optimization procedure, sandwich composite panel finite element model is built up, then the coupled acoustic–structural arithmetic from the widely used calculation program of the finite element “ABAQUS” is used to simulate and analyze the transient dynamic response of a sandwich composite panel that experiences loading by an acoustic pressure shock wave resulting from an underwater explosion “UNDEX”. This approach is well suited for enhancing the response of orthotropic and/or laminated composites which involve many design variables. In GA method, a new approach is considered to improve this evolutionary algorithm for laminated stacking sequence and material selection of face layer and cores. Simple crossover, modified ply mutation, and a new operator called “ply swap” are applied to achieve these goals.},
issn = {0039-2480}, pages = {156-164}, doi = {10.5545/sv-jme.2011.097},
url = {https://www.sv-jme.eu/article/use-of-genetic-algorithms-for-optimal-design-of-sandwich-panels-subjected-to-underwater-shock-loading/}
}
Salimi, H.,Saranjam, B.,Fard, A.,Ahmadzadeh, M. 2012 June 58. Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 58:3
%A Salimi, Hamidreza %A Saranjam, Bahador %A Fard, Ahmad Hoseini %A Ahmadzadeh, Mohsen %D 2012 %T Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading %B 2012 %9 optimization; genetic algorithm; finite element method; sandwich panel; underwater explosion; cavitation %! Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading %K optimization; genetic algorithm; finite element method; sandwich panel; underwater explosion; cavitation %X Sandwich composite panels are increasingly used in the construction of marine vehicles because of their outstanding strength, stiffness and light weight properties. However, the use of composite panels comes with difficulties in the design process as a result of the large number of design variables involved, including composite material design, topologies and laminate schemes. Hence, this work deals with the presentation of an optimal design of laminated composite sandwich marine structures subjected to underwater explosion. The optimization process is performed using a genetic algorithm (GA), associated with the finite element method (FEM) for the structural analysis. In this optimization procedure, sandwich composite panel finite element model is built up, then the coupled acoustic–structural arithmetic from the widely used calculation program of the finite element “ABAQUS” is used to simulate and analyze the transient dynamic response of a sandwich composite panel that experiences loading by an acoustic pressure shock wave resulting from an underwater explosion “UNDEX”. This approach is well suited for enhancing the response of orthotropic and/or laminated composites which involve many design variables. In GA method, a new approach is considered to improve this evolutionary algorithm for laminated stacking sequence and material selection of face layer and cores. Simple crossover, modified ply mutation, and a new operator called “ply swap” are applied to achieve these goals. %U https://www.sv-jme.eu/article/use-of-genetic-algorithms-for-optimal-design-of-sandwich-panels-subjected-to-underwater-shock-loading/ %0 Journal Article %R 10.5545/sv-jme.2011.097 %& 156 %P 9 %J Strojniški vestnik - Journal of Mechanical Engineering %V 58 %N 3 %@ 0039-2480 %8 2018-06-28 %7 2018-06-28
Salimi, Hamidreza, Bahador Saranjam, Ahmad Hoseini Fard, & Mohsen Ahmadzadeh. "Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading." Strojniški vestnik - Journal of Mechanical Engineering [Online], 58.3 (2012): 156-164. Web. 19 Dec. 2024
TY - JOUR AU - Salimi, Hamidreza AU - Saranjam, Bahador AU - Fard, Ahmad Hoseini AU - Ahmadzadeh, Mohsen PY - 2012 TI - Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2011.097 KW - optimization; genetic algorithm; finite element method; sandwich panel; underwater explosion; cavitation N2 - Sandwich composite panels are increasingly used in the construction of marine vehicles because of their outstanding strength, stiffness and light weight properties. However, the use of composite panels comes with difficulties in the design process as a result of the large number of design variables involved, including composite material design, topologies and laminate schemes. Hence, this work deals with the presentation of an optimal design of laminated composite sandwich marine structures subjected to underwater explosion. The optimization process is performed using a genetic algorithm (GA), associated with the finite element method (FEM) for the structural analysis. In this optimization procedure, sandwich composite panel finite element model is built up, then the coupled acoustic–structural arithmetic from the widely used calculation program of the finite element “ABAQUS” is used to simulate and analyze the transient dynamic response of a sandwich composite panel that experiences loading by an acoustic pressure shock wave resulting from an underwater explosion “UNDEX”. This approach is well suited for enhancing the response of orthotropic and/or laminated composites which involve many design variables. In GA method, a new approach is considered to improve this evolutionary algorithm for laminated stacking sequence and material selection of face layer and cores. Simple crossover, modified ply mutation, and a new operator called “ply swap” are applied to achieve these goals. UR - https://www.sv-jme.eu/article/use-of-genetic-algorithms-for-optimal-design-of-sandwich-panels-subjected-to-underwater-shock-loading/
@article{{sv-jme}{sv-jme.2011.097},
author = {Salimi, H., Saranjam, B., Fard, A., Ahmadzadeh, M.},
title = {Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {58},
number = {3},
year = {2012},
doi = {10.5545/sv-jme.2011.097},
url = {https://www.sv-jme.eu/article/use-of-genetic-algorithms-for-optimal-design-of-sandwich-panels-subjected-to-underwater-shock-loading/}
}
TY - JOUR AU - Salimi, Hamidreza AU - Saranjam, Bahador AU - Fard, Ahmad Hoseini AU - Ahmadzadeh, Mohsen PY - 2018/06/28 TI - Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 58, No 3 (2012): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2011.097 KW - optimization, genetic algorithm, finite element method, sandwich panel, underwater explosion, cavitation N2 - Sandwich composite panels are increasingly used in the construction of marine vehicles because of their outstanding strength, stiffness and light weight properties. However, the use of composite panels comes with difficulties in the design process as a result of the large number of design variables involved, including composite material design, topologies and laminate schemes. Hence, this work deals with the presentation of an optimal design of laminated composite sandwich marine structures subjected to underwater explosion. The optimization process is performed using a genetic algorithm (GA), associated with the finite element method (FEM) for the structural analysis. In this optimization procedure, sandwich composite panel finite element model is built up, then the coupled acoustic–structural arithmetic from the widely used calculation program of the finite element “ABAQUS” is used to simulate and analyze the transient dynamic response of a sandwich composite panel that experiences loading by an acoustic pressure shock wave resulting from an underwater explosion “UNDEX”. This approach is well suited for enhancing the response of orthotropic and/or laminated composites which involve many design variables. In GA method, a new approach is considered to improve this evolutionary algorithm for laminated stacking sequence and material selection of face layer and cores. Simple crossover, modified ply mutation, and a new operator called “ply swap” are applied to achieve these goals. UR - https://www.sv-jme.eu/article/use-of-genetic-algorithms-for-optimal-design-of-sandwich-panels-subjected-to-underwater-shock-loading/
Salimi, Hamidreza, Saranjam, Bahador, Fard, Ahmad Hoseini, AND Ahmadzadeh, Mohsen. "Use of Genetic Algorithms for Optimal Design of Sandwich Panels Subjected to Underwater Shock Loading" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 58 Number 3 (28 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 58(2012)3, 156-164
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
Sandwich composite panels are increasingly used in the construction of marine vehicles because of their outstanding strength, stiffness and light weight properties. However, the use of composite panels comes with difficulties in the design process as a result of the large number of design variables involved, including composite material design, topologies and laminate schemes. Hence, this work deals with the presentation of an optimal design of laminated composite sandwich marine structures subjected to underwater explosion. The optimization process is performed using a genetic algorithm (GA), associated with the finite element method (FEM) for the structural analysis. In this optimization procedure, sandwich composite panel finite element model is built up, then the coupled acoustic–structural arithmetic from the widely used calculation program of the finite element “ABAQUS” is used to simulate and analyze the transient dynamic response of a sandwich composite panel that experiences loading by an acoustic pressure shock wave resulting from an underwater explosion “UNDEX”. This approach is well suited for enhancing the response of orthotropic and/or laminated composites which involve many design variables. In GA method, a new approach is considered to improve this evolutionary algorithm for laminated stacking sequence and material selection of face layer and cores. Simple crossover, modified ply mutation, and a new operator called “ply swap” are applied to achieve these goals.