ABA Design Code increases the reliability of a structure by means of multiplying the partial safety factors by load and resistant. In this paper, the reliability index of Code-based Designed structures are calculated and investigated. Also it is shown that the different values of reliability index are calculated for the different values of the coefficient of variation. This result expresses the importance of the Code Design collection on basis of reliability theory. In other words, the partial safety factors of Design parameters for ABA must be calculated on basis of the local statistical data (in favor of Iran) of the parameters.

In this article the results of research to achieve a comprehensive Code of remote sensing satellite conceptual Design is presented. In compiling the Code with considering the Design philosophy of "better, faster, cheaper" has been attempted in caddition to the use of new technologies and the experiences of experts, local constraints such as national launchers limitation also be considered. The main advantage of the proposed Code than conventional models, is using accurate simulation methods and newer models in the process of conceptual Design of subsystems. view of the practical experience of the past to choose the best Design starting point, achieve an operational plan to reduce the risk of costly changes, next steps of Design has been achieved.

In this paper, we propose a new method for short block length Low Density Parity Check (LDPC) Code Design. The experimental results show that Codes Designed using the proposed algorithm have better performance compare to the other short block length LDPC Codes. For LDPC Code Design in short block length, two problems arise: first analytical estimation of Code performance using density evolution method is unusable because of infinity of Code length in this method. Second because of high Code density, the probability of short loop in Code graph (Girth) is high that dramatically reduces the Code performance. We propose solution for both problems. First, Code structure is Designed in such a way that the Code performance is near to that of the density evolution method estimates and second by improving Extended Bit Filling algorithm, short block length is controlled.

Iranian Design Code like any other Design Code increases the reliability of a structure by means of multiplying the partial safety factors by load and resistant. The reliability index can be evaluated in order to survey the reliability of structures. In this paper, the reliability index of a beam as an important member of a structure is considered and the effect of the values and coefficient of variation of Design parameters on the reliability index is surveyed. Finally, the partial safety factors for different states are proposed. In this paper, a new method based on genetic algorithm (GA) is used to calculate the reliability index. This new method has more efficiency in comparison with the classic methods and the simulation methods such as Monte Carlo. This method does not require the mathematical form of the limit state function and on the other hand, this method takes less computational time in comparison with simulation methods. In structural construction, there are many different Design parameters which are random variables. Probability distribution can be considered for each of these random variables. For different statistical data of Design parameters, different partial safety factors are needed to optimum Design of a beam. However, Iranian Design Code considers the constant partial safety factors for all different conditions. In case that the exact and specific statistical data of Design parameters are available, the structural reliability analysis can be applied for reaching an optimum Design. The statistical data of Design parameters can be obtained by gathering the statistical data in any country and after that a reliable Design Code can be obtained based on these statistical data. Because of lack of statistical data of Design parameters in Iran, five usual conditions were considered for data and then partial safety factors are calculated.