EVALUATION OF RETROFITTING METHODS FOR FAILURE RESISTANCE IN SKYSCRAPER STRUCTURES

Abstract

A skyscraper is a tall, continually occupied structure including several levels. The phrase formerly referred to a structure including a minimum of 35 to 50 stories, primarily intended for office, commercial, and residential purposes. A skyscraper, frequently referred to as a high-rise, typically denotes a structure over 50 meters (164 feet) in height. A prevalent characteristic of skyscrapers is the presence of a steel structure that underpins curtain walls. These curtain walls may rest on the underlying structure or are hung from the above framework, as opposed to typical load-bearing walls. The load on a skyscraper mostly derives from the weight of the construction materials. In the majority of architectural projects, the mass of the structure significantly exceeds the mass of the materials it will support in addition to its own weight. In technical terminology, the dead load, representing the weight of the structure, exceeds the live load. The fundamental concepts of design for vertical and lateral loads (wind and seismic) are same throughout low, medium, and high-rise buildings. As a structure ascends, both vertical and lateral loads become critical issues. The vertical loads escalate proportionately with the floor size and the number of levels. Conversely, the impact of lateral stresses on a structure is nonlinear and escalates significantly with height. The lateral loads will result in significant deflection and moments on steel components. Retrofitting the structure may mitigate these sorts of failures. This examination will examine a 40-story skyscraper. Various retrofitting solutions, including shear walls, bracings, and fixed dampers, will be evaluated at many sites. The structure will be evaluated on medium soil and examined over all four zones. Moments, drift, torsion, and story shear will be compared across all situations. The commercial software ETABS will be used for the analysis of a 120-meter tall skyscraper across several zones. The data will be analysed using tables and graphs to identify the best optimised option.