Genetic Algorithm in Stability of Non-Homogeneous Slopes
In recent years, genetic algorithm search procedure has been used to locate the critical slip surface of homogeneous slopes. It has been found that genetic algorithm is a robust search technique which often gives global solution. In the present study, genetic algorithm has been used to locate the critical slip surface of non-homogeneous slope in conjunction with slope stability analysis method developed by Janbu (1973) for generalized slip surface. The results obtained from the present study have been compared with those available in the literature [Greco (1996) and Zolfaghari et al. (2005)]. The effect of various genetic algorithm parameters (population size, number of generations, crossover probability and mutation probability) on the solution has been studied. It has been found from the results that Janbu's method (1973) of stability analysis along with genetic algorithm as search procedure gives a better solution in terms of getting minimum factor of safety, compared to other methods.
Determination of Slope Safety Factor with Analytical Solution and Searching Critical Slip Surface with Genetic-Traversal Random Method
In the current practice, to determine the safety factor of a slope with two-dimensional circular potential failure surface, one of the searching methods for the critical slip surface is Genetic Algorithm (GA), while the method to calculate the slope safety factor is Fellenius' slices method. However GA needs to be validated with more numeric tests, while Fellenius' slices method is just an approximate method like finite element method. This paper proposed a new method to determine the minimum slope safety factor which is the determination of slope safety factor with analytical solution and searching critical slip surface with Genetic-Traversal Random Method. The analytical solution is more accurate than Fellenius' slices method. The Genetic-Traversal Random Method uses random pick to utilize mutation. A computer automatic search program is developed for the Genetic-Traversal Random Method. After comparison with other methods like slope/w software, results indicate that the Genetic-Traversal Random Search Method can give very low safety factor which is about half of the other methods. However the obtained minimum safety factor with Genetic-Traversal Random Search Method is very close to the lower bound solutions of slope safety factor given by the Ansys software.
The Millennial of Castile (1943): the historical culture of Spanish Fascism
Abstract The creation of new symbols and historical myths were common practices of nationalist politics, especially in Fascist regimes. In 1943 the Franco regime organized the most impressive historical commemoration celebrated in post-war Spain: the Milenario of Castile. With its heterogeneous mixture of history and spectacle, the Milenario of Castile was by far the greatest historical commemoration promoted by the State during the 1940s. Taking the commemoration of the Milenario as a case study, this article examines the historical culture of Spanish Fascism, as well as the attempts of the Falangist intellectual elite to impose a concrete national narrative in post-war Spain. At the same time, the article analyses the historical discourses and aesthetics displayed throughout the commemoration, underlining its Fascist character, and consequently the transnational dimension of the Fascist politics of the past. Finally, the article reflects on the scope and limits of the process of Fascistisation in Franco's dictatorship, especially in its commemorative culture.