Integrated water and land resource's strategies requires consideration of physical process in bio-physic model parallel to hydrological, agricultural, social and economic feedbacks in dynamics system. Coupling SD-based models with physically-based models of environment is therefore a promising method for obtaining the best of both worlds to enable data exchange between different models which could cover the complex behavior caused by the various interactions. Therefore, in this study, in order to water resources allocation and performance estimation of Tajan irrigation and drainage scheme, VENSIM dynamics system model and WOFOST crop growth model were developed using scripting approach and PySD-PCSE coupling model. On this basis, the VENSIM and WOFOST models were first applied and calibrated in 2015, and were returned to Python according to coding instructions and the integration of the two models was performed. The results of the present study showed that the water resources balance was insufficient to supply agricultural demand, and from 155 million cubic meters, only approximately 81 million cubic meters were supplied that the deficiencies for fruits, citrus, rice, grain maize, cereal, oilseed and wheat are 52, 25, 30, 2, 1. 2, 0. 05, 1 and 1. 52 MCM, respectively, which greatly impacts on crop yield. Also, according to the poor potential of water resources in the Tajan scheme, the calculated yield for crops such as corn 8. 8, wheat 1. 76 and oilseeds 2. 6 ton/ha were simulated that is significantly different from the actual yield of crops. On the other hand, since the potential water resources of the Tajan irrigation and drainage scheme are insufficient to provide for agricultural demands, in averaging 15 years no supplies have been made for pulse in all areas annually and for oilseeds, wheat, corn and beans in some areas. Also, in order to estimate the best yield function of the coefficient of explanation of the different plotted graphs, the results of this comparison showed that all of these functions are of polynomial type and are consistent with the Dornbus-Kasam relation.

This research investigates the creep phenomenon of a polymeric rotating disk using the generalized Maxwell’s visco-hyperelastic model. After extracting the Lagrangian partial differential equation of equilibrium governing the problem, the rotating disk was analyzed by scripting in FlexPDE. The disk modelling in ANSYS with coding in the APDL environment showed that the radial displacement and Von-Mises stress are in excellent agreement with the FlexPDE results. The advantages of FlexPDE over ANSYS include one-dimensional analysis of axisymmetric plane stress instead of two-dimensional analysis, reduction of computational cost, possibility of defining variable thickness (without additional coding) and need for fewer elements in the radial direction to achieve acceptable accuracy (necessity of using 20 elements in FlexPDE compared to 100 elements in ANSYS). It was shown that with the passage of time and the increase in angular velocity, the radial displacement and Von- Mises stress of the rotating disk due to the creep phenomenon increase. It was shown that by increasing the angular velocity and decreasing the power in the thickness profile n_h, the displacement and Von-Mises stress at a specific time increase, but the change in angular velocity (as the applied load) and the change in parameter n_h (as a geometric characteristic) do not have much effect on the relaxation time of the rotating disk.

Programmers differ in how they generate source codes. The study of these differences, programming habits, helps us to select and train programmers. This has been studied before and specially among student programmers. To the extent we know, such a study has not been carried out in Iran. To fill this gap and gather local knowledge, in the present research, we distributed an individual difference questionnaire among 52 programmers in various Iranian software companies. Using the collected data, we studied the influence of age, gender, experience and personality on four problem solving strategies: top-down, bottom-up, breadth-first, and depthfirst. We analyzed the data statistically and found that Iranian programmers have a preference towards specific programming strategies as mentioned before in other studies. Besides, age, gender, experience, and personality traits affect their preferences.

This paper presents a finite element solution for the static analysis of a multi-layers beam with and without piezoelectric layers. The beam is under large deformation. The virtual work principle and the Lagrangian update method (LUM) have been employed to study the static behavior of piezoelectric beams. Four-nodes element with two displacement degrees of freedom and one electrical degree of freedom has been used in this analysis.Finally, in order to prove the validity of the presented formulation and the solving process, the results are compared with the other available data.

Prediction of gas emissions is a calculation based on empirical processing in the coal mining. In this study, methane diffusion was investigated coal exploration on parameters such as coal gas content, mining, depth, etc., in two faces in the Tabas Parvadeh central coal mining. Therefore, in the beginning, the initial and final values for the studied faces were modeled based on the neural network. The neural network was calculated methane for P8/TG face, between 0.4476%-0.9921% and P8/MG face are between 0.1636%-0.3379%. The intensity of methane gas emission from the studied mine was done based on the level of coal and the amount of gas volume using MATLAB coding. Also, the type of extraction method in the mine was done on the amount of gas emission caused by mining. According to the amount and aggregate of induced fractures, the permeability shows several degrees of increase. These amounts can evacuation the gas caused by the underground extraction of the mine faster. In this study, the amount of gas emissions due to mining was calculated using coding to the content of the remaining gas matrix In this study, the amount of gas emission due to drilling was 0.04%, blasting was 0.045%, support was 0.040%, muckout was 0.06% and jiggring was 0.25%. Small errors in the measurement of gas content can lead to large errors in the estimated calculations, which were determined using the software. The correlation coefficient of input and output of the studied data was estimated as 0.984%. The modeling done for the 2 face current shows a good result which can be used to improve mine safety.

In this study, a new method for producing initial conditions that are required for the Brownian dynamics simulation of dilute polymer suspension flows is proposed. For this purpose, the equilibrium probability distribution function is employed to generate an equilibrium ensemble of polymers. This approach is programmed and by using it, a polymer suspension in the inception of a simple shear flow is simulated. Also, the results of simulations in a similar flow configuration based on the conventional approach of generating initial conditions are presented. The excellent agreement between the results demonstrates the high accuracy of the proposed method for generating initial conditions. The main advantage of the proposed method is its low computational cost.