Statistical identification of parameters for damaged FGM structures with material uncertainties in thermal environment
DOI10.1155/2018/9034865zbMath1398.93350OpenAlexW2795082706MaRDI QIDQ1791073
Yu Qian, Yalan Xu, Kong-Ming Guo
Publication date: 4 October 2018
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/9034865
functionally graded material (FGM) structureMonte-Carlo simulation (MCS)numerically simulated damaged FGM beamregion truncation-based optimization methodstatistical identification of parametersstochastic model updating-based inverse computational method
Monte Carlo methods (65C05) Rods (beams, columns, shafts, arches, rings, etc.) (74K10) Stochastic programming (90C15) Identification in stochastic control theory (93E12)
Cites Work
- Development of a finite element model updating technique for estimation of constituent level elastic parameters of FRP plates
- Material model calibration by indentation, imprint mapping and inverse analysis
- Stochastic simulation of non-Gaussian/non-stationary properties in a functionally graded plate
- Nonlinear finite element analysis of functionally graded circular plates with modified couple stress theory
- Hybrid sensitivity matrix for damage identification in axially functionally graded beams
- Investigation of the dynamic behavior of a finite crack in the functionally graded materials by use of the Schmidt method
- Stochastic finite element nonlinear free vibration analysis of piezoelectric functionally graded materials beam subjected to thermo-piezoelectric loadings with material uncertainties
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