Numerical determination of representative volumes for granular materials
By Martijn Stroeven, H. Askes, Lambertus J. Sluys. 2004
164 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/9ed615290e419c9dabc74a4c3d668a1aac1a7828
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Vinh Phu Nguyen
- Martijn Stroeven
- Lambertus J. Sluys
- Oriol Lloberas-Valls
- Celal Soyarslan
- Swantje Bargmann
- H. Askes
- R. de Borst
In Mechanics of Materials
- Vinh Phu Nguyen
- Martijn Stroeven
- Lambertus J. Sluys
- H. Askes
- Oriol Lloberas-Valls
- I. Gitman
- J. Wilmers
- J. Markmann
Citations in the corpus
- Statistically Equivalent Representative Volume Elements for Unidirectional Composite Microstructures: Part I - Without Damage (2006, unknown): “[21] have quantified the size of the RVE for heterogeneous microstructures by studying the averages and standard deviations of specific factors like particle size, applied peak load, dissipated energy, and strain concentration.”
- Generation of 3D representative volume elements for heterogeneous materials: A review (2018, background): “A statistical approach on how to determine representative volumes of granular materials is published in [563].”
- Material spatial randomness: From statistical to representative volume element☆ (2006, unknown): “[7,8,72,73].”
- Quantification of stochastically stable representative volumes for random heterogeneous materials (2006, background): “In this work the investigated parameter ai is the average stress or average stiffness of the unit cell, although other parameters are also possible [25].”
- Representative elementary volume estimation for porosity, moisture saturation, and air‐water interfacial areas in unsaturated porous media: Data quality implications (2011, background): “…with a body of literature indicating that porosity often achieves REV within a smaller volume than do other variables [Baveye and Sposito, 1984; Zhang et al., 2000; Bear, 2002; Kanit et al., 2003; Stroeven et al., 2004; Al-Raoush and Willson, 2005b; Salama and Van Geel, 2008; Li et al., 2009].”
- Homogenization-based multiscale crack modelling: from micro diffusive damage to macro cracks (2011, methodology): “According to the former, a micro model with properly chosen dimension which is determined, for example, by the RVE’s size quantification procedure given in [22, 11, 30], is numerically loaded at different loading conditions, the resulting cohesive laws are snapshot and later on used in a macroscopic”