Dynamic Analysis of High Rise Buildings Using Conjugate Gradient Method
Journal: International Journal of Scientific Engineering and Research (IJSER) (Vol.7, No. 5)Publication Date: 2019-05-05
Authors : M. Naguib; Y. E. Agag; Mohmaed E. El Madawy; Eman Sharaf;
Page : 37-45
Keywords : high rise buildings; conjugate gradient method; dynamic analysis; elcentroo earthquake;
Abstract
High rise buildings (tall building) investment projects represent a component of the country?s economy power and a sign of advantage to the country. So many countries have sought to achieve their progress through encouraging preparation of comprehensive plans to establish high rise investment projects to prove its economic power & prestige. This paper is concerned with the dynamic analysis of high rise building. The dynamic analysis is carried out, considering the parameter affecting the response. These parameters include: the variation of plane dimension and the variation of building system. The analysis is carried out to determine the dynamic analysis of high rise building using conjugate gradient method that are used for the reinforced concrete buildings due to gravity loads and earthquake loads. With a various system for modeling the structure. These systems are rigid frame, frame with shear wall, frame with central core, bracing system, guyed frame. The used complete program is verified for static and dynamic analysis is carried out the basic modeling techniques and assumption are made by "Etabs" program and make verification between stiffness method and energy method in 3D modeling. Design is made according to the "UBC" code. The structure efficiency is measured by, structural period of vibration, and base shear values. the recommendation of the structural systems is based upon limiting the seismic drift of the structure, minimizing the cost of the seismic force resisting elements, and increasing the lateral stiffness. The analysis is done by Fortran program based on minimization of total potential energy of structure using the method of conjugate gradient [1]
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