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Mechanics Based Design of Structures and Machines
An International Journal
Volume 51, 2023 - Issue 4
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Articles

Application of a new semi-analytic method in bending behavior of functionally graded material sandwich beams

Jun Liua State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, China;b School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, ChinaView further author information
,
Congkuan Haoa State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, China;b School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, ChinaView further author information
,
Wenbin Yea State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, China;b School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, ChinaCorrespondence[email protected]
View further author information
&
Quansheng Zanga State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, China;b School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, ChinaView further author information
Pages 2130-2153 | Received 15 Oct 2020, Accepted 10 Feb 2021, Published online: 27 Feb 2021
 
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Abstract

In this article, the bending properties of functionally graded material (FGM) sandwich beams are analyzed by using the scaled boundary finite element method (SBFEM) for the first time. The model of FGM sandwhich beams is realized by using high order spectral elements, and only the axial dimension of the beam needs to be discretized. The analytical formula along the thickness direction can better satisfy the properties of the FGM. More importantly, only a small number of the high order spectral element is used to discretize the FGM sandwich beam model, which greatly improves the computational efficiency.

Additional information

Funding

This research was supported by Grant 51779033 from the National Natural Science Foundation of China and Grant DUT20TD209 from the Fundamental Research Funds for the Central Universities for which the authors are grateful.

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