TY - JOUR
T1 - Determination of discrete element model parameters required for soil tillage
AU - Asaf, Z.
AU - Rubinstein, D.
AU - Shmulevich, I.
N1 - Funding Information:
The authors wish to thank the Graduate School and Agricultural Engineering Department at the Technion-Israel Institute of Technology and the Peled Foundation for partially sponsoring this research.
PY - 2007/1
Y1 - 2007/1
N2 - The dynamic interaction that occurs in the soil tillage process includes a high rate of plastic deformation and soil failure, characterized by flow of the soil particles. The discrete element method (DEM) seems to be a promising approach for constructing a high-fidelity model to describe soil-implement interaction. Proper prediction of this interaction using DEM depends upon the model parameters. However, there is no robust method for determining the parameters for discrete element models. In this study, the determination of parameters was based on in situ field tests, which consisted of sinkage tests performed with different penetration tools. Based on each test, a plot of force versus displacement, or a so-called "real curve," was drawn. Discrete element models were built in correspondence with the field tests. "Simulation curve" plots were obtained from the results of the simulation of force versus displacement. In order to minimize the area difference between the real and simulation curves, an inverse solution technique using the Nelder-Mead algorithm of optimization was employed. The optimization results of this particular problem are sensitive to the initial estimate of the parameters. In order to achieve a unique solution, the initial estimate must be close enough to the proper value of the parameters. An energy method and elastic-plastic rule were developed to determine the initial estimation for the optimization process. The described methodology was verified experimentally and numerically; good correlation was achieved between the soil mechanical behavior obtained by experiments and the discrete element simulations.
AB - The dynamic interaction that occurs in the soil tillage process includes a high rate of plastic deformation and soil failure, characterized by flow of the soil particles. The discrete element method (DEM) seems to be a promising approach for constructing a high-fidelity model to describe soil-implement interaction. Proper prediction of this interaction using DEM depends upon the model parameters. However, there is no robust method for determining the parameters for discrete element models. In this study, the determination of parameters was based on in situ field tests, which consisted of sinkage tests performed with different penetration tools. Based on each test, a plot of force versus displacement, or a so-called "real curve," was drawn. Discrete element models were built in correspondence with the field tests. "Simulation curve" plots were obtained from the results of the simulation of force versus displacement. In order to minimize the area difference between the real and simulation curves, an inverse solution technique using the Nelder-Mead algorithm of optimization was employed. The optimization results of this particular problem are sensitive to the initial estimate of the parameters. In order to achieve a unique solution, the initial estimate must be close enough to the proper value of the parameters. An energy method and elastic-plastic rule were developed to determine the initial estimation for the optimization process. The described methodology was verified experimentally and numerically; good correlation was achieved between the soil mechanical behavior obtained by experiments and the discrete element simulations.
KW - Discrete element method
KW - In situ tests
KW - Inverse solution
KW - Optimization
KW - Soil parameters
UR - http://www.scopus.com/inward/record.url?scp=33749624243&partnerID=8YFLogxK
U2 - 10.1016/j.still.2006.03.006
DO - 10.1016/j.still.2006.03.006
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AN - SCOPUS:33749624243
SN - 0167-1987
VL - 92
SP - 227
EP - 242
JO - Soil and Tillage Research
JF - Soil and Tillage Research
IS - 1-2
ER -