The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Lattice models in micromechanics
Abstract
This review presents the potential that lattice (or spring network) models hold for micromechanics applications. The models have their origin in the atomistic representations of matter on one hand, and in the truss-type systems in engineering on the other. The paper evolves by first giving a rather detailed presentation of one-dimensional and planar lattice models for classical continua. This is followed by a section on applications in mechanics of composites and key computational aspects. We then return to planar lattice models made of beams, which are a discrete counterpart of non-classical continua. The final two sections of the paper are devoted to issues of connectivity and rigidity of networks, and lattices of disordered (rather than periodic) topology. Spring network models offer an attractive alternative to finite element analyses of planar systems ranging from metals, composites, ceramics and polymers to functionally graded and granular materials, whereby a fiber network model of paper is treated in considerable detail. This review article contains 81 references.
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Citations
Cites
A discrete numerical model for granular assemblies
Cundall, P. A., & Strack, O. D. L. (1979) · Géotechnique · doi:10.1680/geot.1979.29.1.47 · Cited by 17,527
Cited by
Mechanics of random fiber networks—a review
Picu, R. C. (2011) · Soft Matter · doi:10.1039/c1sm05022b · Cited by 324
A 3D distinct lattice spring model for elasticity and dynamic failure
Zhao, G., Fang, J., & Zhao, J. (2011) · International Journal for Numerical and Analytical Methods in Geomechanics · doi:10.1002/nag.930 · Cited by 321
Metadata
- Authors
- Ostoja-Starzewski, M.
- Venue
- Applied Mechanics Reviews
- Publisher
- ASME International
- Published
- 2002-01-01
- Volume
- 55
- Issue
- 1
- Pages
- 35-60
- ISSN
- 0003-6900 (ISSN-L)
- 2379-0407
- OpenAlex
- W1963881005
- Cited by
- 505
- References
- 1
- FWCI
- 9.49
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.