Abstract
Realistically calculating of natural frequencies is crucial for studying dynamical characteristics of structures in engineering. In this paper, the gradient smoothing technique is first applied into the conventional finite element method (named ES-FEM), to improve the accuracy of the deterministic calculation of natural frequencies. Then, the hybrid random and interval uncertain parameters are introduced into the proposed ES-FEM based on hybrid stochastic and interval perturbation method. Expressions for the mean value and variance of natural frequencies are derived by combining the random interval perturbation method and the random interval moment method. The upper and lower bounds of mean value and variance of natural frequencies are calculated based on hybrid perturbation vertex method. The proposed method (denoted ESHPVM) is compared with the different methods. The high accuracy and efficiency of the proposed methods are verified by two numerical examples.
| Original language | English |
|---|---|
| Pages (from-to) | 41-50 |
| Number of pages | 10 |
| Journal | Engineering Analysis with Boundary Elements |
| Volume | 103 |
| DOIs | |
| State | Published - Jun 2019 |
Bibliographical note
Publisher Copyright:© 2019 Elsevier Ltd
Funding
The first author wishes to thank the support of the National Natural Science Foundation of China (NSFC) (Grant no. 11702226 ) and the support of the Chongqing Science and Technology Commission (CSTC) (Grant no. 2016jcyjA0176 ) and Fundamental Research Funds for the Central Universities (Grant no. XDJK2017B060 ) and China Postdoctoral Science Foundation (Grant no. 2018M643827 ).
| Funders | Funder number |
|---|---|
| National Natural Science Foundation of China (NSFC) | 11702226 |
| China Postdoctoral Science Foundation | 2018M643827 |
| Chongqing Science and Technology Commission | 2016jcyjA0176 |
| Fundamental Research Funds for the Central Universities | XDJK2017B060 |
Keywords
- Edge-based smoothing technique
- FEM
- First-order random interval perturbation method
- Natural frequencies
- Stochastic perturbation technique
ASJC Scopus subject areas
- Analysis
- General Engineering
- Computational Mathematics
- Applied Mathematics