Post-buckling of sigmoid-functionally graded material toroidal shell segment surrounded by an elastic foundation under thermo-mechanical loads

The nonlinear buckling and post-buckling of ceramic-metal-ceramic layers (S-FGM) toroidal shell segment surrounded by elastic foundation under thermo-mechanical loads are investigated with an analytical approach in this paper. Based on the classical thin shell theory with geometrical nonlinearity in von Karman-Donnell sense, Stein and McElman assumption and Pasternak foundation model, the governing equations of nonlinear buckling of S-FGM toroidal shell segment are analyzed. The static critical buckling loads and the post-buckling analyses in two cases - movable and immovable boundary conditions including temperature effects are obtained. Furthermore, the effects of geometry ratios, characteristic of materials, elastic foundation and thermal environment on the nonlinear buckling of shells are presented.

Title: 

Post-buckling of sigmoid-functionally graded material toroidal shell segment surrounded by an elastic foundation under thermo-mechanical loads
Authors: Bich, D.H.
Ninh, D.G.
Keywords: Elastic foundation
Nonlinear buckling
Sigmoid functionally graded material
Thermo-mechanical load
Toroidal shell segments
Issue Date: 2016
Publisher: Elsevier Ltd
Citation: Scopus
Abstract: The nonlinear buckling and post-buckling of ceramic-metal-ceramic layers (S-FGM) toroidal shell segment surrounded by elastic foundation under thermo-mechanical loads are investigated with an analytical approach in this paper. Based on the classical thin shell theory with geometrical nonlinearity in von Karman-Donnell sense, Stein and McElman assumption and Pasternak foundation model, the governing equations of nonlinear buckling of S-FGM toroidal shell segment are analyzed. The static critical buckling loads and the post-buckling analyses in two cases - movable and immovable boundary conditions including temperature effects are obtained. Furthermore, the effects of geometry ratios, characteristic of materials, elastic foundation and thermal environment on the nonlinear buckling of shells are presented.
Description: Composite Structures Volume 138, March 15, 2016, Pages 253-263
URI: http://www.sciencedirect.com/science/article/pii/S0263822315010478
http://repository.vnu.edu.vn/handle/VNU_123/33658
ISSN: 02638223
Appears in Collections:Bài báo của ĐHQGHN trong Scopus

Nhận xét

Đăng nhận xét

Bài đăng phổ biến từ blog này

Ảnh hưởng của Phật giáo đến lối sống của người Việt Nam hiện nay

Title:  Ảnh hưởng của Phật giáo đến lối sống của người Việt Nam hiện nay Other Titles:  The impacts of Buddhism on the Vietnamese’s today way of life Authors:  Nguyễn, Thị Hằng Keywords:  Triết học;Phật giáo;Tôn giáo;Người Việt Nam Issue Date:  2015 Publisher:  Đại học Quốc gia Hà Nội Citation:  121 tr. URI:  http://repository.vnu.edu.vn/handle/VNU_123/8956 Appears in Collections: Luận văn - Luận án (LIC)
Đọc thêm

Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks

Hình ảnh
This study tested the use of machine learning techniques for the estimation of above-ground biomass (AGB) of Sonneratia caseolaris in a coastal area of Hai Phong city, Vietnam. We employed a GIS database and multi-layer perceptron neural networks (MLPNN) to build and verify an AGB model, drawing upon data from a survey of 1508 mangrove trees in 18 sampling plots and ALOS-2 PALSAR imagery. We assessed the model’s performance using root-mean-square error, mean absolute error, coefficient of determination (R2), and leave-one-out cross-validation. We also compared the model’s usability with four machine learning techniques: support vector regression, radial basis function neural networks, Gaussian process, and random forest. The MLPNN model performed well and outperformed the machine learning techniques. The MLPNN model-estimated AGB ranged between 2.78 and 298.95 Mg ha−1 (average = 55.8 Mg ha−1); below-ground biomass ranged between 4.06 and 436.47 Mg ha−1 (average = 81.47 M...
Đọc thêm