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Mixed Static and Dynamic Optimization of Four-Parameter Functionally Graded Completely Doubly Curved and Degenerate Shells and Panels Using GDQ Method

机译：四个参数的混合静态和动态优化功能渐变完全渐变，使用GDQ方法完全双弯曲和退化壳和面板

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Francesco Tornabene; Alessandro Ceruti;
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年度 2013
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1. Mixed Static and Dynamic Optimization of Four-Parameter Functionally Graded Completely Doubly Curved and Degenerate Shells and Panels Using GDQ Method [J] . Francesco Tornabene, Alessandro Ceruti Mathematical Problems in Engineering . 2013,第pta6期

机译：GDQ法对四参数功能梯度完全双曲线简并变形简支壳和面板进行静态和动态混合优化
2. Free vibration of four-parameter functionally graded moderately thick doubly-curved panels and shells of revolution with general boundary conditions [J] . Qingshan Wang, Dongyan Shi, Qian Liang, Applied Mathematical Modelling . 2017,第Feba期

机译：具有一般边界条件的四参数功能梯度中等厚度的双曲线面板和旋转壳体的自由振动
3. Static analysis of functionally graded doubly-curved shells and panels of revolution [J] . Francesco Tornabene, Erasmo Viola Meccanica . 2013,第4期

机译：功能梯度双曲壳和旋转面板的静态分析
4. TRANSIENT ANALYSIS OF FOUR-PARAMETER POWER LAW FUNCTIONALLY GRADED SHELL PANELS [C] . Kushan Prasad Verma, D. K. Maiti International Congress on Sound and Vibration . 2019

机译：四参数电力定律功能分级壳板的瞬态分析
5. Multimode Nonlinear Vibration Analysis of Stiffened Functionally Graded Double Curved Shells in a Thermal Environment [D] . Azizi, Boutros . 2019

机译：热环境中加强功能分级双弯曲壳的多模非线性振动分析
6. The Dynamic Response and Vibration of Functionally Graded Carbon Nanotube-Reinforced Composite (FG-CNTRC) Truncated Conical Shells Resting on Elastic Foundations [O] . Duc Nguyen Dinh, Pham Dinh Nguyen 2017

机译：功能梯度碳纳米管增强复合材料（FG-CNTRC）截断的圆锥形壳体基于弹性基础的动力响应和振动
7. Free-form laminated doubly-curved shells and panels of revolution resting on Winkler-Pasternak elastic foundations: a 2-D GDQ solution for static and free vibration analysis [O] . Francesco Tornabene, Ro Ceruti 2016

机译：Winkler-pasternak弹性地基上的自由叠层双弯曲壳和旋转板：用于静态和自由振动分析的2-D GDQ解决方案

Mixed Static and Dynamic Optimization of Four-Parameter Functionally Graded Completely Doubly Curved and Degenerate Shells and Panels Using GDQ Method

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