A Methodical Calibration Procedure for Discrete Element Models
199 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/4bbddbba11c5406811b417959244ea15e1d6df22
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In Civil and Structural Engineering
- O. Al-Amoudi
- Hongyang Cheng
- H. M. Al-Hashemi
- Haruyuki Yamamoto
- Stefan Luding
- V. Magnanimo
- Klaus Thoeni
- T. Shuku
In Computational Mechanics
- O. Al-Amoudi
- Hongyang Cheng
- H. M. Al-Hashemi
- Haruyuki Yamamoto
- Stefan Luding
- V. Magnanimo
- Klaus Thoeni
- T. Shuku
In Management, Monitoring, Policy and Law
Citations in the corpus
- A review on the angle of repose of granular materials (2018, methodology): “The authors used digital image analysis techniques to analyze and obtain the coordinates of a surface profile of the pile slope, and a similar method was reported by Rackl and Hanley [63].”
- An iterative Bayesian filtering framework for fast and automated calibration of DEM models (2019, background): “Note that it is also possible to leave dt as a free parameter to optimize, such that the computational cost is reduced to the largest extent for a given level of accuracy [19,73].”
- Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter (2018, methodology): “Among a handful of systematic approaches to calibrating DEM models, the design of experiments (DOE) methods are efficient in searching for possible solutions in the multi-dimensional parameter space, with a manageable number of DEM simulations [18,24,39,54].”