Details
| Original language | English |
|---|---|
| Article number | 1188 |
| Journal | MATERIALS |
| Volume | 16 |
| Issue number | 3 |
| Publication status | Published - 30 Jan 2023 |
Abstract
This work presents a robust non-deterministic free vibration analysis for engineering structures with random field parameters in the frame of stochastic finite element method. For this, considering the randomness and spatial correlation of structural physical parameters, a parameter setting model based on random field theory is proposed to represent the random uncertainty of parameters, and the stochastic dynamic characteristics of different structural systems are then analyzed by incorporating the presented parameter setting model with finite element method. First, Gauss random field theory is used to describe the uncertainty of structural material parameters, the random parameters are then characterized as the standard deviation and correlation length of the random field, and the random field parameters are then discretized with the Karhunen–Loeve expansion method. Moreover, based on the discretized random parameters and finite element method, structural dynamic characteristics analysis is addressed, and the probability distribution density function of the random natural frequency is estimated based on multi-dimensional kernel density estimation method. Finally, the random field parameters of the structures are quantified by using the maximum likelihood estimation method to verify the effectiveness of the proposed method and the applicability of the constructed model. The results indicate that (1) for the perspective of maximum likelihood estimation, the parameter setting at the maximum value point is highly similar to the input parameters; (2) the random field considering more parameters reflects a more realistic structure.
Keywords
- free vibration, Karhunen–Loeve expansion, multi-dimensional kernel density estimation, random dynamic characteristic, random field
ASJC Scopus subject areas
- Materials Science(all)
- Physics and Astronomy(all)
- Condensed Matter Physics
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In: MATERIALS, Vol. 16, No. 3, 1188, 30.01.2023.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Uncertain Dynamic Characteristic Analysis for Structures with Spatially Dependent Random System Parameters
AU - Du, Wenyi
AU - Ma, Juan
AU - Zhou, Changhu
AU - Yan, Yongchun
AU - Wriggers, Peter
N1 - Funding Information: The authors gratefully acknowledge the support of Natural Science Foundation of China (Grant No. 11572233) and Pre-Research Foundation (Grant No. 61400020106) to the project. The authors sincerely appreciate the reviewers for their valuable and constructive comments.
PY - 2023/1/30
Y1 - 2023/1/30
N2 - This work presents a robust non-deterministic free vibration analysis for engineering structures with random field parameters in the frame of stochastic finite element method. For this, considering the randomness and spatial correlation of structural physical parameters, a parameter setting model based on random field theory is proposed to represent the random uncertainty of parameters, and the stochastic dynamic characteristics of different structural systems are then analyzed by incorporating the presented parameter setting model with finite element method. First, Gauss random field theory is used to describe the uncertainty of structural material parameters, the random parameters are then characterized as the standard deviation and correlation length of the random field, and the random field parameters are then discretized with the Karhunen–Loeve expansion method. Moreover, based on the discretized random parameters and finite element method, structural dynamic characteristics analysis is addressed, and the probability distribution density function of the random natural frequency is estimated based on multi-dimensional kernel density estimation method. Finally, the random field parameters of the structures are quantified by using the maximum likelihood estimation method to verify the effectiveness of the proposed method and the applicability of the constructed model. The results indicate that (1) for the perspective of maximum likelihood estimation, the parameter setting at the maximum value point is highly similar to the input parameters; (2) the random field considering more parameters reflects a more realistic structure.
AB - This work presents a robust non-deterministic free vibration analysis for engineering structures with random field parameters in the frame of stochastic finite element method. For this, considering the randomness and spatial correlation of structural physical parameters, a parameter setting model based on random field theory is proposed to represent the random uncertainty of parameters, and the stochastic dynamic characteristics of different structural systems are then analyzed by incorporating the presented parameter setting model with finite element method. First, Gauss random field theory is used to describe the uncertainty of structural material parameters, the random parameters are then characterized as the standard deviation and correlation length of the random field, and the random field parameters are then discretized with the Karhunen–Loeve expansion method. Moreover, based on the discretized random parameters and finite element method, structural dynamic characteristics analysis is addressed, and the probability distribution density function of the random natural frequency is estimated based on multi-dimensional kernel density estimation method. Finally, the random field parameters of the structures are quantified by using the maximum likelihood estimation method to verify the effectiveness of the proposed method and the applicability of the constructed model. The results indicate that (1) for the perspective of maximum likelihood estimation, the parameter setting at the maximum value point is highly similar to the input parameters; (2) the random field considering more parameters reflects a more realistic structure.
KW - free vibration
KW - Karhunen–Loeve expansion
KW - multi-dimensional kernel density estimation
KW - random dynamic characteristic
KW - random field
UR - http://www.scopus.com/inward/record.url?scp=85147855122&partnerID=8YFLogxK
U2 - 10.3390/ma16031188
DO - 10.3390/ma16031188
M3 - Article
AN - SCOPUS:85147855122
VL - 16
JO - MATERIALS
JF - MATERIALS
SN - 1996-1944
IS - 3
M1 - 1188
ER -