Hassim, Hairul Mubarak (2014) Finite element analysis of general three dimensional space frame. Masters thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract
Finite Element Analysis to three dimensional space frames is the fundamental of Finite Element Analysis. Because of the shape of the space frame, the space frame is regarded as a line element in the Finite Element Analysis. Each of the elements will have two nodes which is located at its ends. Each of the nodes has six degree of freedom.. The first three degree of freedom are in translation in z, y and z direction and the next three degree of freedom are in rotational in O,, 8,and 8, direction. The programming of the Finite Element Analysis can be written either in Fortran, C, C++, Java and etc. Each of the programming languages has its own merit aad demerit. The merit and demerit are in term of computing efficiency, computing speed and ease of writing a program in those languages. The programming of the space frame analysis starts with the data input provided by the user. The required data input are the element connectivity's, the node coordinates, material properties, shape, force and constraint. From input data, a global stiffness matrix[K], force vector{F) and displacement vector{u,) are created. Using the Hooke's Law F = Ku,, the displacement u, of each nodes can be computed. Displacement u of the two ends nodes will results in elongation. Elongation of the space frame will cause the stress and strain in term of tension and compression. Since the stress can be computed and the cross sectional area is constant, the elemental force can be computed as the product of stress and cross sectional area.
Item Type:  Thesis (Masters) 

Subjects:  T Technology > TA Engineering (General). Civil engineering (General) > TA329348 Engineering mathematics. Engineering analysis 
Depositing User:  Normajihan Abd. Rahman 
Date Deposited:  01 Jul 2014 02:11 
Last Modified:  01 Jul 2014 02:11 
URI:  http://eprints.uthm.edu.my/id/eprint/5516 
Statistic Details:  View Download Statistic 
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