reservoir dams are among the main storage systems employed in agriculture for the several past decades. proper operation of these reservoirs is important for irrigation espe-cially in such arid and semi-arid areas like iran, and particularly during dry years. a computational framework for reservoir simulation and flood routing is hereby presented. a key aspect of the reservoir simulation is the...

important parameters on apple drying process are investigated experimentally and modeled employing artificial neural network and neuro-taguchi's method. experimental results show that the apple drying curve stands in the falling rate period of drying. temperature is the most important parameter that has a more pronounced effect on drying rate than the other two parameters i.e. air velocity and ...

measuring sensitivity of hydraulic structures is considered as an approach for evaluation of water projects performance, due to lower distribution efficiency in irrigation and drainage project schemes. sensitivity analysis approach for irrigation structures is one of flow analysis methods which are developed in recent years in order to measure the behavior of flow in hydraulic structures in an ...

background: the characteristics of secondary neutrons in a high energy radiation therapy room were studied using the mcnpx monte carlo (mc) code. materials and methods: two mc models including a model with full description of head components and a simplified model used in previous studies were implemented for mc simulations. results: results showed 4-53% difference between full and with the sim...

discrete element method (dem) is extensively used for mathematical modeling and simulating the behavior of discrete discs and discrete spheres in two and three dimensional space, respectively. prediction of particles flow regime, power draw and kinetic energy for a laboratory or an industrial mill is possible by dem simulation. in this article, a new approach was used to assess the main paramet...

Abstract An introduction to deterministic and stochastic system simulation modeling various statistical measures of their outputs.

in this study, the effect of some toxic organic chemicals on mogan lake has been investigatedusing the aquatox model. the unique property of the model includes the sub ecotoxicological modelwhen compared to the other water quality models. the ecosystem model aquatox, which is one of the fewgeneral ecological risk models that represents the combined environmental repercussions and effects of tox...

modeling and simulation of processing plants are widely used in industry. construction of a mathematical model for a plant is a time-consuming and error-prone task. in light of extensive advancements in computer science (both hardware and software), computers are becoming a necessary instrument in industrial activities. many software tools for modeling, simulation and optimization of processing...

this research presents a dynamic mathematical system for modeling and simulating the quality management process in construction projects. through sets of cause and effect feedback loops, all factors that internally and externally affect the quality management process are addressed. the proposed system integrates fuzzy logic with system dynamics simulation scheme to consider the uncertainties as...

modeling and simulation techniques are now widely used alongside with their experimental counterparts in order to complement them, or sometimes to bring first insights into the possible outcome of experiments. “modeling” is a general word that could encompass a wide range of methods that could be applied to a variety of subjects and problems. here, the use of selected molecular modeling methods...