Concurrent \(n\)-scale modeling for non-orthogonal woven composite
DOI10.1007/s00466-022-02199-2zbMath1501.74069arXiv2105.10411OpenAlexW3164688754WikidataQ113326442 ScholiaQ113326442MaRDI QIDQ2086043
Weizhao Zhang, Chunwang He, Jiaying Gao, Hengyang Li, Satyajit Mojumder, Jian Cao, Derick Suarez, Wing Kam Liu
Publication date: 20 October 2022
Published in: Computational Mechanics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2105.10411
reduced order modelingwoven compositeunidirectional compositevirtual testingself-consistent clustering analysisdata-driven concurrent modeling
Composite and mixture properties (74E30) Numerical and other methods in solid mechanics (74S99) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement
- Uncertainty quantification in multiscale simulation of woven fiber composites
- Multiresolution clustering analysis for efficient modeling of hierarchical material systems
- An inverse modeling approach for predicting filled rubber performance
- Efficient multiscale modeling for woven composites based on self-consistent clustering analysis
- Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials
- Model order reduction of nonlinear homogenization problems using a Hashin-Shtrikman type finite element method
- Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials
- Clustering discretization methods for generation of material performance databases in machine learning and design optimization
- Toward realization of computational homogenization in practice
- Element‐free Galerkin methods
- Isogeometric Analysis
- Reproducing kernel particle methods