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Convergence Analysis of Finite Element Approach to Classical Approach for Analysis of Plates in Bending

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EN
Abstrakty
EN
Classical approach is a popular method used in the analysis of structures including bending plates, but these plates can have highly irregular geometry and contain holes or may be subjected to loading irregularity. Hence, the analysis is further complicated and the classical approaches are not valid. Thus, the Finite Element Method is used to control the accuracy and it is needed for more difficult problems. In the present study Fourier series theory as classical approach and finite element method of analysis were discussed and the numerical examples of a simply supported and fixed supported square steel plate were used to compare them. The results obtained with general public software LISA that uses FEM was plotted according to the element types, both quadrangular and triangular. Their convergence was verified with the values obtained from classical approach to validate the results of FEM from LISA. The results showed the conformity with the existing theories that the greater discretization the more the reality is approached. The convergence error of 5% was taken as the maximum for the element types and meshes to be used for highly sophisticated plate systems. The ratios of element size to the size of the whole square plate to be used for general cases of square plate dimensions were established.
Twórcy
  • School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou Gansu China
  • Department of construction and structural engineering, University of Dar Es salaam, Tanzania
Bibliografia
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  • 20. Hossel S., Comparisonof Differents Methods of Analysis. Design and Detailing of Reinforced Concrete Footing. Project Report in Partial Fullfilment for the Degree of Bachelor of Engneering ,University of Pretoria, Pretoria, 2012.
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Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-ae79eef5-f658-480d-a062-b963e95ec3a8
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