Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation
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Publication:2056652
DOI10.1016/j.apm.2020.10.039zbMath1481.74591OpenAlexW3103538272MaRDI QIDQ2056652
Yang Jiao, Yi Gao, Yong-Ming Liu
Publication date: 8 December 2021
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2020.10.039
Random fields (60G60) Reliability, availability, maintenance, inspection in operations research (90B25) Micromechanics of solids (74M25)
Cites Work
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- High dimensional model representation for stochastic finite element analysis
- The stochastic finite element method: past, present and future
- The effect of material and thickness variability on the buckling load of shells with random initial imperfections
- Improving the computational efficiency in finite element analysis of shells with uncertain properties
- Assessment of spectral representation and Karhunen-Loève expansion methods for the simulation of Gaussian stochastic fields
- Stochastic finite element analysis of shells
- Random field simulation over curved surfaces: applications to computational structural mechanics
- Simulation of multi-dimensional random fields by Karhunen-Loève expansion
- Stochastic finite element analysis of composite structures based on mesoscale random fields of material properties
- A random field-based method to estimate convergence of apparent properties in computational homogenization
- The effect of non-uniformity of axial loading on the buckling behaviour of shells with random imperfections
- A Quadratically Convergent Newton Method for Computing the Nearest Correlation Matrix
- Random heterogeneous materials. Microstructure and macroscopic properties