# Computational Structural Analysis and Finite Element Methods by A. Kaveh

By A. Kaveh

Effective equipment resulting in hugely sparse and banded structural matrices
Application of graph idea for effective research of skeletal structures
Many labored examples and routines may also help the reader to understand the theory

Graph thought won preliminary prominence in technology and engineering via its robust hyperlinks with matrix algebra and laptop technology. in addition, the constitution of the maths is definitely fitted to that of engineering difficulties in research and layout. The equipment of research during this booklet hire matrix algebra, graph concept and meta-heuristic algorithms, that are splendid for contemporary computational mechanics. effective equipment are awarded that bring about hugely sparse and banded structural matrices. the most good points of the publication comprise: program of graph concept for effective research; extension of the strength technique to finite point research; program of meta-heuristic algorithms to ordering and decomposition (sparse matrix technology); effective use of symmetry and regularity within the strength process; and simultaneous research and layout of structures.

Content point » Research

Keywords » program of Graph concept for effective research - Finite point research - Meta-heuristic Algorithms

Related topics » Computational Intelligence and Complexity - Computational technology & Engineering

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Extra resources for Computational Structural Analysis and Finite Element Methods

Sample text

Select γ(S) independent unknown forces as redundants. These unknown forces can be selected from external reactions and/or internal forces of the structure. Denote these redundants by: n ot q ¼ q 1 ; q 2 ; . . ; q γ ð SÞ : ð2:7Þ Remove the constraints corresponding to redundants, in order to obtain the corresponding statically determinate structure, known as the basic (released or primary) structure of S. Obviously, a basic structure should be rigid. 3 Formulation of the Force Method 47 p ¼ fp1 ; p2 ; .

Some engineers prefer to add a third row containing the member’s labels, for easy addressing. In this case, the storage is increased to 3 Â M. g. for the previous example this vector becomes: ð1; 2; 1; 3; 2; 3; 1; 4; 2; 4; 3; 5; 4; 5Þ: ð1:54Þ This is a compact description of a graph; however, it is impractical because of the extra search required for its use in various algorithms. Adjacency List. This list consists of N rows and D columns, where D is the maximum degree of the nodes of S. The ith row contains the labels of the nodes adjacent to node i of S.

Pn g t , ð2:8Þ where n is the number of components for applied nodal loads. Now the stress resultant distribution r, due to the given load p, for a linear analysis by the force method can be written as, r ¼ B0 p þ B1 q, ð2:9Þ where B0 and B1 are rectangular matrices each having m rows, and n and γ(S) columns, respectively, m being the number of independent components for member forces. Ss), known as a statical basis. Example 1. Consider a planar truss, as shown in Fig. 4a, which is two times statically indeterminate.