Physical and particle flow modeling of jointed rock block behavior under uniaxial loading
By P. Kulatilake, B. Malama, Jialai Wang. 2001
236 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Management, Monitoring, Policy and Law, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/af884f71bb738586bb8ff465ae9f22a0ef81fe1c
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
- Xiaobin Ding
- Hongyang Cheng
- Haruyuki Yamamoto
- Lianyang Zhang
- Qi Zhang
- Stefan Luding
- V. Magnanimo
- Hehua Zhu
In Management, Monitoring, Policy and Law
- Xiaobin Ding
- Hongyang Cheng
- Haruyuki Yamamoto
- Lianyang Zhang
- Qi Zhang
- Stefan Luding
- Hehua Zhu
- Klaus Thoeni
In Mechanics of Materials
- Xiaobin Ding
- Hongyang Cheng
- Haruyuki Yamamoto
- Lianyang Zhang
- Qi Zhang
- Stefan Luding
- Hehua Zhu
- Klaus Thoeni
Citations in the corpus
- Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter (2018, background): “To tackle the issues mentioned above, an “inversemodeling calibration” approach [1,27] is needed to infer the micromechanical parameters from macroscopic experimental measurements.”
- An iterative Bayesian filtering framework for fast and automated calibration of DEM models (2019, background): “To tackle the issues mentioned above, it is often preferable to infer the micromechanical parameters from the history-dependent macroscopic measurements, following an “inverse-modeling calibration” approach [13].”
- Effect of Model Scale and Particle Size Distribution on PFC3D Simulation Results (2013, background): “the related studies in PFC3D are very limited (Kulatilake et al. 2001; Potyondy and Cundall 2004).”