The towers of the to the most powerful life-line buildings that support electrical transmission line are peculiar transmission. Transmission towers are essential for providing energy to various parts of the nation. The transmission line should be stable and carefully structured with the objective that they do not fizzle in the midst of a cataclysmic event and adapt to the national and universal standard. This present paper manages the investigation of static and dynamic examination of transmission line tower . A run of the mill sort of transmission line tower is picked as contextual analysis . The examination and displaying of pinnacle is done utilizing FE based ANSYS programming. The heaps following up on the pinnacle reflected are numb burden, live burden and dynamic burdens .in this Paper the most extreme twisting joined anxieties and characteristic frequencies ,bowing minute shear constrain are gotten.
Active and passive replication models constitute an effective way to achieve the availability objectives of distributed real-time (DRE) systems. These two models have different impacts on the application performance. Although these models have been commonly used in practical systems, a systematic quantitative evaluation of their influence on the application performance has not been conducted. In this paper we describe a methodology to analyze the application performance in the presence of active and passive replication models. For each one of these models, we obtain an analytical expression for the application response time in terms of the model parameters. Based on these analytical expressions, we derive the conditions under which one replication model has better performance over the other. Our results indicate that the superiority of one replication model over the other is governed not only by the model parameters but also by the application characteristics. We illustrate the value of the analytical expressions to assess the influence of the parameters of each model on the application response time and for a comparative analysis of the two models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.