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Zahedan, Iran

University of Sistan and Baluchestan is an Iranian public university headquartered in zahedan, Sistan and Baluchestan province, Iran. As the second largest university of Iran, it is the largest university of the province. The university has two campuses located in Iranshahr and Chabahar. Wikipedia.

The aim of current study is to separate geochemical anomalies from background based on stream sediments data by utilizing the concentration–area (C–A) fractal model in Shorabhaji region, northwest of Iran. Stream sediments data were used in this study which was conducted for the primary regional exploration for eight elements (As, Ti, Ag, Cu, Pb, Sn, W, and Au) in Shorabhaji region. Log–log plots for these elements show three populations including low, medium, and high anomaly. Threshold values for the region were computed based on these log–log plots. The thresholds were identified for Ag (1.5 ppm), Ti (1.8 ppm), Ag (1.5 ppm), Cu (1.55 ppm), Pb (1.57 ppm), Sn (1.58 ppm), W (1.78 ppm), and Au (1.25 ppm). Based on the thresholds of the C–A model, the anomaly maps of elements were drawn. There was a good relationship between lithological units and anomalous areas obtained by concentration–area fractal method. © 2014, Saudi Society for Geosciences. Source

Rahimnia F.,Ferdowsi University of Mashhad | Hassanzadeh J.F.,University of Sistan and Baluchestan
Information and Management

By considering the problems that commercial saffron companies have faced in international markets, the aim of this study is to investigate the impact of website content, including informational and design dimensions, on the effectiveness of e-marketing and e-trust as mediator variables. These aspects are examined with reference to sales and marketing division managers in a sample of 100 commercial saffron corporations in the Khorasan province. The findings support the ideas that website content has an effect on e-marketing and e-trust and that e-trust plays a mediating role in the relationship between e-trust and e-marketing effectiveness. © 2013 Elsevier B.V. Source

Shabakhty N.,University of Sistan and Baluchestan
Engineering Failure Analysis

As it is known, fatigue is the process of damage accumulation in material due to the stress fluctuation. The failure occurs when accumulated damage exceed critical level. In practice, uncertainties are incorporated in fatigue estimation especially in the loads and in the capacity of structures. Reasonably these uncertainties can be incorporated within reliability framework or probability context. It is possible to estimate the fatigue reliability based on crack propagation in fracture mechanics and also using reliability context. However the first failure of structural element under fatigue degradation may not lead to the collapse of system, an approach to combine in the system failures is needed.This paper presents a new approach to estimate structural system failure probability of jack-up platforms in combination of fatigue and fracture. The probability of failure for each component is initially estimated using typical fatigue and fracture failure scenario. But for the second element failure in combination of fatigue and fracture, a new approach is presented. This method is based on the Monte Carlo Simulation of crack size in accordance with the crack growth approach in fracture mechanics. Important sequences leading to the structural collapse are identified within the branch and bound technique. Finally the system failure probability through combination of important paths leading to the structural collapse is obtained. Advantage of this method in addition to its simplicity in application is possibility of using the FORM technique to estimate each failure path individually and finally combine them together to determine system reliability. It is shown the system failure under combination of fatigue and fractures has higher probability of occurrence than the purely first or in combination with the second fatigue failures only. © 2010 Elsevier Ltd. Source

Ali Akbar D.,University of Sistan and Baluchestan
International Journal of Mining Science and Technology

This paper is devoted to application of ordinary kriging method in Choghart north anomaly iron ore deposit in Yazd province, Iran. In order to estimate the deposit, 2329 input data gained from 26 boreholes were used. Fe grade was selected as the major regional variable on which the present research has focused. All of the available data were changed to 12.5 m composites so that statistical regularization could be reached. Studies indicated that iron grade input data had single-population characteristics. To carry out ordinary kriging, a spherical model was fitted over empirical variogram. Then the model was verified through cross validation method and proved to be valid with a coherence coefficient of 0.773 between the estimated and real data. Plotting the empirical variogram in different directions showed no geometric anisotropy for the deposit. To estimate the Iron grade, ordinary kriging method was used according to which, all of the exploitable blocks with dimensions 20 m × 20 m × 12.5 m were block estimated within the estimation space. Finally tonnage-grade curve has been drawn and reserve classified into measured, indicated and inferred. © 2012 Published by Elsevier B.V. on behalf of China University of Mining and Technology. Source

Nehi H.M.,University of Sistan and Baluchestan
International Journal of Fuzzy Systems

In this paper I will introduce the trapezoidal intuitionistic fuzzy numbers (IF numbers) and will prove some operations for them. Also I am going to propose a new ordering method for IF numbers in which I will consider two characteristic values of membership and non-membership functions for an IF number. These values are defined by the integral of the inverse fuzzy membership and non-membership functions multiplied by the grade with powered parameter. Source

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