scholarly journals Coupled Crop and Solid Set Sprinkler Simulation Model. II: Model Application

2004 ◽  
Vol 130 (6) ◽  
pp. 511-519 ◽  
Author(s):  
F. Dechmi ◽  
E. Playán ◽  
J. Cavero ◽  
A. Martínez-Cob ◽  
J. M. Faci
Keyword(s):  
Simulation Model ◽  
Model Application

scholarly journals Analysis of simulation model application to forecast the railway workers failures

2007 ◽  
Vol 17 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Milan Markovic ◽  
Milos Ivic ◽  
Norbert Pavlovic ◽  
Sladjana Jankovic
Keyword(s):  
Simulation Model ◽  
Analytical Model ◽  
Human Factor ◽  
Renewal Theory ◽  
Model Application ◽  
Service Workers ◽  
Exact Time ◽  
Railway Workers ◽  
Operational Service

In this paper the idea of treating the operational service workers as the elements of technique systems is suggested and the renewal theory is used to forecast the number of accidents caused by human factor. The analytical model is presented and limitations for its application are quoted. Furthermore, the simulation model is developed and the conditions for its use are given. The model observes each worker separately and establishes the exact time of arisen failures, the number of failures at some moment t, time tn, to the nth failure, inconsistency of failure number and total number of failures of the observed population. The model is tested on the sample of 348 engine drivers in PE "Serbian Railways" who have made at leas one accident, in order to research the parameters necessary for using the renewal theory and simulation. .

Genetic algorithm used in simulation model: Application in a maintenance process

2012 ◽  
Vol 45 (6) ◽  
pp. 1047-1052 ◽  
Author(s):  
S. Khebbache-Hadji ◽  
Y. Hani ◽  
N. Lahiani ◽  
A. El Mhamedi
Keyword(s):  
Genetic Algorithm ◽  
Simulation Model ◽  
Model Application ◽  
Maintenance Process

scholarly journals Simulation Model Application to Predict the Effect of Salinity on Surfactant Adsorption and Retention in Alkali Surfactant Flooding

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Muhammad Taufiq Fathaddin ◽  
Rachmat Sudibjo ◽  
Kartika Fajarwati H. ◽  
Shabrina Sri Riswati
Keyword(s):  
Simulation Model ◽  
Laboratory Experiment ◽  
Recovery Factor ◽  
Type I ◽  
Surfactant Adsorption ◽  
Type Ii ◽  
Surfactant Flooding ◽  
Model Application ◽  
Type Iii

<p>Modeling works of alkali surfactant injection are presented in this paper, in order to analysis the effect of salinity on surfactant adsorption and retention. Simulation model was built using UTCHEM simulator. The simulation model was validated using laboratory experiment. From the laboratory experiment and modeling, it was found that surfactant retention, as well as surfactant adsorption, increased with the salinity. However they were not linearly related. The application of microemulsion Type III (salinity of 1.4% wt.) gave the optimum flooding. Although more surfactant was adsorbed and retained compared to microemulsion Type I (salinity of 1.4% wt.), but it yielded the highest recovery factor. The formation of microemulsion Type II (salinity of 2.0% wt.) should be avoided since it effectively caused surfactant loss due to surfactant adsorption and retention.</p>

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