Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment
Joint Authors
Xu, Yalan
Qian, Yu
Guo, Kongming
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-29
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
Considering that the statistic numerical characteristics are often required in the probability-based damage identification and safety assessment of functionally graded material (FGM) structures, an stochastic model updating-based inverse computational method to identify the second-order statistics (means and variances) of material properties as well as distribution of constituents for damaged FGM structures with material uncertainties is presented by using measurable modal parameters of structures.
The region truncation-based optimization method is employed to simplify the computational process in stochastic model updating.
In order to implement the forward propagation of uncertainties required in the stochastic model updating and avoid large error resulting in the nonconvergence of the iteration process, an algorithm is proposed to compute the covariance between the modal parameters and the identified parameters for damaged FGM structures.
The proposed method is illustrated by a numerically simulated damaged FGM beam with continuous spatial variation of material properties and verified by comparing with the Monte-Carlo simulation (MCS) method.
The influences of the levels and sources of measured data uncertainties as well as the boundary conditions on the identification results are investigated.
The numerical simulation results show the efficiency and effectiveness of the presented method for the identification of material parameter variability by using the measurable modal parameters of damaged FGM structures.
American Psychological Association (APA)
Xu, Yalan& Qian, Yu& Guo, Kongming. 2018. Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment. Complexity،Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1136476
Modern Language Association (MLA)
Xu, Yalan…[et al.]. Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment. Complexity No. 2018 (2018), pp.1-21.
https://search.emarefa.net/detail/BIM-1136476
American Medical Association (AMA)
Xu, Yalan& Qian, Yu& Guo, Kongming. Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment. Complexity. 2018. Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1136476
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136476