Optimization of multi-directional functionally graded plates in thermal environment based on 3D isogeometric analysis and adaptive-hybrid evolutionary firefly algorithm
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Thai, Son
[1
,2
]
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[1] Ho Chi Minh City Univ Technol HCMUT, Fac Civil Engn, 268 Ly Thuong Kiet St,Ward 14,Dist 10, Ho Chi Minh City, Vietnam
[2] Vietnam Natl Univ Ho Chi Minh City VNU HCM, Ho Chi Minh City, Vietnam
In this study, a numerical model based on three-dimensional isogeometric analysis and adaptive hybrid evolutionary firefly algorithm is developed to concurrently optimize the shape and material distribution of multi-directional functionally graded plates. The optimization problems focus on maximizing the fundamental frequency of the plates subjected to thermal effects, while the volume fraction of ceramic constituent material and volume of the plates are considered as side constraints. Isogeometric multi-mesh design approach is employed to generate design and analysis domain. The free vibration analysis of multi-directional functionally graded plates with variable thickness is conducted within the framework of three-dimensional elasticity theory and isogeometric analysis. The generalized numerical framework developed in this study could accurately capture the thermal effects on the behavior of nonhomogeneous plates with variable thickness. Various numerical examples are conducted to illustrate the optimal shapes and material distributions within square, rectangular, and circular plates. Influences of temperature field, boundary conditions, and geometries of the plates on the optimal results are also addressed.
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Ashjari Mohammad, 2017, Journal of the Mechanical Behaviour of Materials, V26, P79, DOI 10.1515/jmbm-2017-0017
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Sejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South Korea
Do, Dieu T. T.
Nguyen-Xuan, H.
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Ho Chi Minh City Univ Technol HUTECH, CIRTech Inst, Ho Chi Minh City, VietnamSejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South Korea
Nguyen-Xuan, H.
Lee, Jaehong
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Sejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South Korea
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Sejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South Korea
Do, Dieu. T. T.
Lee, Dongkyu
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Sejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South Korea
Lee, Dongkyu
Leek, Jaehong
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Sejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South Korea
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Sejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South Korea
Do, Dieu T. T.
Nguyen-Xuan, H.
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Ho Chi Minh City Univ Technol HUTECH, CIRTech Inst, Ho Chi Minh City, VietnamSejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South Korea
Nguyen-Xuan, H.
Lee, Jaehong
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Sejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Deep Learning Architecture Res Ctr, 209 Neungdong Ro, Seoul 05006, South Korea
机构:
Sejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South Korea
Do, Dieu. T. T.
Lee, Dongkyu
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Sejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South Korea
Lee, Dongkyu
Leek, Jaehong
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Sejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South KoreaSejong Univ, Dept Architectural Engn, 209 Neungdong Ro, Seoul 05006, South Korea