The effect of dynamic load on tall building

Wameedh Ghassan Abdul Hussein, Ahlam Sader Mohammed, Mohammed Elwi

Abstract


In this study, the effectiveness of the structure of a tall building (consisting of nineteen floors) was analysed and investigated by the existence or absence of shear walls (SW) to resist loads of wind and earthquake effect. Note that each floor contains four apartments comes under zone 2 Four different styles of shear walls were used in terms of shape and location. The results were analysed and discussed for each case and for each floor, and comparisons were made between those results in terms of (moments, lateral forces, vertical loads, and torsion moments). There are several techniques for solving structural engineering problems, and one of those distinct techniques is the design optimization techniques method. The most complicated high-rise buildings that use design optimization, which includes each of size and topological optimization, are addressed by considering stability, safety, and responsiveness to various sorts of loadings A project includes wall-frame structural optimization. When this wall and core system was subjected to various loadings, it was tested for displacement, internal stresses, and intensities. The SAP2000 Software has made design improvements to the construction of the reinforced concrete plane frame to minimize the costs to beams and columns of the concrete and steel by Using a computer model called an Artificial Neural Network (ANN). The concept method is in accordance with ACI-318-08 Code. To improve the design optimization, many variables have been used depth, width, and the steel reinforcing area Including both (longitudinal and shear reinforcement). It can be concluded that by putting the shear walls nearest the structure geometric center the best performance of seismically loaded structure can be achieved; the maximum displacement, bending moment horizontal forced, and torsional moments were decreased.

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DOI: http://dx.doi.org/10.21533/pen.v10i3.3088

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Copyright (c) 2022 Wameedh Ghassan Abdul Hussein, Ahlam Sader Mohammed, Mohammed Elwi

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License