2019
DOI: 10.1088/1742-6596/1210/1/012025
|View full text |Cite
|
Sign up to set email alerts
|

DEM calibration approach: orthogonal experiment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 17 publications
0
2
0
Order By: Relevance
“…The factors and levels from the response surface simulation test are shown in Table 4. In this study, 17 experiments were carried out to find the best combination of simulation contact parameters and to study the effect of the µ r-pp , µ s-pp , and µ r-pw on the clam simulation static repose angle, based on the BBD method [37]. The corresponding simulation results are shown in Table 5.…”
Section: Response Surface Simulation Test and Anovamentioning
confidence: 99%
“…The factors and levels from the response surface simulation test are shown in Table 4. In this study, 17 experiments were carried out to find the best combination of simulation contact parameters and to study the effect of the µ r-pp , µ s-pp , and µ r-pw on the clam simulation static repose angle, based on the BBD method [37]. The corresponding simulation results are shown in Table 5.…”
Section: Response Surface Simulation Test and Anovamentioning
confidence: 99%
“…One of the main advantages of renewable energy sources is the environmental friendliness of the electricity generation. Of course, the production of components for renewable energy power plants, such as wind turbines, solar modules, batteries [14], and converter and switching equipment [15], requires significant costs to allow the reuse of resources during production and disposal (passive phase) [16]. Moreover, according to recent studies, special attention should be paid to the distribution planning of solar power plants in countries that occupy significant areas as CO 2 emissions may increase [17,18].…”
Section: Introductionmentioning
confidence: 99%