Numerical Analysis of FG and TBC Systems Based on Thermo-Elasto-Plastic-Damage Model

Egner, Halina; Juchno, M.; Kula, M.; Skrzypek, Jacek

doi:10.1080/01495730701499057

Cited by 5 publications

(2 citation statements)

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“…Recalling the orthogonality condition { } T [M]{ } = 1 and using (20) and (22), the coefficient can be obtained by…”

Section: Forward Uncertainty Propagationmentioning

confidence: 99%

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Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment

Guo

2018

Complexity

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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.Hindawi Complexity Volume 2018, Article ID 9034865, 21 pages https://doi.

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“…Recalling the orthogonality condition { } T [M]{ } = 1 and using (20) and (22), the coefficient can be obtained by…”

Section: Forward Uncertainty Propagationmentioning

confidence: 99%

“…As is well-known, accurate and reliable mechanical behavior analysis of FGM structures with initial damage is vital for the early condition assessment and damage prognosis in order to guarantee the safe performance and prevent the possible disastrous failure of FGM structures [20,21].…”

Section: Introductionmentioning

confidence: 99%