Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Vibration and buckling optimization of functionally graded porous microplates using BCMO-ANN algorithm
https://orcid.org/0000-0002-1215-9348
https://orcid.org/0000-0002-1746-8297
https://orcid.org/0000-0002-3610-865X
Abstract A BCMO-ANN algorithm for vibration and buckling optimization of functionally graded porous (FGP) microplates is proposed in this paper. The theory is based on a unified framework of higher-order shear deformation theory and modified couple stress theory. A combination of artificial neural network (ANN) and balancing composite motion optimization (BCMO) is developed to solve the optimization problems and predict stochastic vibration and buckling behaviors of functionally graded porous microplates with uncertainties of material properties. The characteristic equations are derived from Hamilton’s principle and approximation of field variables under Ritz-type exponential series. Numerical results are obtained to investigate the effects of the material distribution, material length scale, porosity density and boundary conditions on natural frequencies and critical buckling loads of functionally graded porous microplates. The novel results derived from this paper can be used as future references.
Highlights A BCMO-ANN algorithm for stochastic vibration and buckling analysis of functionally graded porous microplates is presented. A unified framework of higher-order shear deformation theory and modified couple stress theory is presented. Ritz method with hybrid shape functions yields fast convergence and accurate results. Effects of materials and geometry on stochastic behaviors of functionally graded porous microplates are investigated.
Vibration and buckling optimization of functionally graded porous microplates using BCMO-ANN algorithm
https://orcid.org/0000-0002-1215-9348
https://orcid.org/0000-0002-1746-8297
https://orcid.org/0000-0002-3610-865X
Abstract A BCMO-ANN algorithm for vibration and buckling optimization of functionally graded porous (FGP) microplates is proposed in this paper. The theory is based on a unified framework of higher-order shear deformation theory and modified couple stress theory. A combination of artificial neural network (ANN) and balancing composite motion optimization (BCMO) is developed to solve the optimization problems and predict stochastic vibration and buckling behaviors of functionally graded porous microplates with uncertainties of material properties. The characteristic equations are derived from Hamilton’s principle and approximation of field variables under Ritz-type exponential series. Numerical results are obtained to investigate the effects of the material distribution, material length scale, porosity density and boundary conditions on natural frequencies and critical buckling loads of functionally graded porous microplates. The novel results derived from this paper can be used as future references.
Highlights A BCMO-ANN algorithm for stochastic vibration and buckling analysis of functionally graded porous microplates is presented. A unified framework of higher-order shear deformation theory and modified couple stress theory is presented. Ritz method with hybrid shape functions yields fast convergence and accurate results. Effects of materials and geometry on stochastic behaviors of functionally graded porous microplates are investigated.
Vibration and buckling optimization of functionally graded porous microplates using BCMO-ANN algorithm
https://orcid.org/0000-0002-1215-9348
https://orcid.org/0000-0002-1746-8297
https://orcid.org/0000-0002-3610-865X
Abstract A BCMO-ANN algorithm for vibration and buckling optimization of functionally graded porous (FGP) microplates is proposed in this paper. The theory is based on a unified framework of higher-order shear deformation theory and modified couple stress theory. A combination of artificial neural network (ANN) and balancing composite motion optimization (BCMO) is developed to solve the optimization problems and predict stochastic vibration and buckling behaviors of functionally graded porous microplates with uncertainties of material properties. The characteristic equations are derived from Hamilton’s principle and approximation of field variables under Ritz-type exponential series. Numerical results are obtained to investigate the effects of the material distribution, material length scale, porosity density and boundary conditions on natural frequencies and critical buckling loads of functionally graded porous microplates. The novel results derived from this paper can be used as future references.
Highlights A BCMO-ANN algorithm for stochastic vibration and buckling analysis of functionally graded porous microplates is presented. A unified framework of higher-order shear deformation theory and modified couple stress theory is presented. Ritz method with hybrid shape functions yields fast convergence and accurate results. Effects of materials and geometry on stochastic behaviors of functionally graded porous microplates are investigated.
Vibration and buckling optimization of functionally graded porous microplates using BCMO-ANN algorithm
Tran, Van-Thien (Autor:in) / Nguyen, Trung-Kien (Autor:in) / Nguyen-Xuan, H. (Autor:in) / Abdel Wahab, Magd (Autor:in)
Thin-Walled Structures ; 182
11.10.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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