Comparison of approximate methods of lateral load analysis for buildings
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Date
2015-05
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G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)
Abstract
The safety and serviceability of a structure depend on how accurately the forces and the response associated with it are determined. Various precise methods of analysis have been well documented in the literature for structural analysis. Computer programs provide results with good cost and time efficiency. The main problem is that structural engineers are using these softwares as black box and gross errors are left undetected. This problem can be overcome by using fast and efficient methods which yield results which are approximate and acceptable. These methods are called approximate methods and they have been used successfully for the analysis of the structures. In present study the analysis of G+2 and G+3 building frames with several geometric configuration has been conducted. These building frames have been analysed by Approximate methods, Exact methods and STAAD.Pro V8i software. The various approximate methods used in this study are Continuous portal frame method, Cantilever method, Kani’s method, and Factor’s method. The Exact method used is Stiffness matrix method. The problems have been deduced from symmetrical frame to unsymmetrical frame by removing some beams and columns from a given symmetric frame of G+2 and G+3. In this work five such frames have been analysed using these methods. The various response parameters such as shear forces, beam moments, column moments and axial shear on each storey of a particular frame has been analysed. These results of approximate methods have been compared with the exact method of structural analysis and STAAD.Pro V8i. It is found that the maximum error in the axial forces in beam is about 27.48% while the error in axial forces in column is 461.54%, maximum error in Beam moments is 140.19% while in Column moments 131.92%, and maximum error in Shear in beams is 38.36% while maximum error in Shear in columns is 168.31%.
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