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The Virtual Distortion Method 13<br />

linear static analysis. An extension of CA to geometrically nonlinear problems [17] is worth<br />

noting.<br />

The theorems of structural variation (TSV) [18] are in fact very similar to the VDM and were<br />

initiated at the same time. Instead of applying unit strains <strong>for</strong> building the influence matrix,<br />

unit loadings are used. Like the VDM, the method provides exact results. The first theorem<br />

expresses element <strong>for</strong>ces and nodal displacements in a modified structure in terms of <strong>for</strong>ces <strong>for</strong><br />

the original structure and <strong>for</strong>ces due to unit loadings. The second theorem concerns analogous<br />

expressions <strong>for</strong> displacements. The TSV method has been extended to two-dimensional [19]<br />

and three-dimensional [20] finite elements. Elastoplastic analysis can also be per<strong>for</strong>med by<br />

TSV [21]. No development of the TSV method in dynamics has been done, as far as the authors<br />

know.<br />

Deng and Ghosn [22] developed the pseudo<strong>for</strong>ce method (PM) to per<strong>for</strong>m reanalysis. The<br />

concept of pseudo<strong>for</strong>ces, analogous to virtual distortions in VDM and pseudoloads in TSV,<br />

is used to model structural modifications. Based on the SMW <strong>for</strong>mulas, which require the<br />

inverse of an initial stiffness matrix, an algorithm is proposed <strong>for</strong> solving both the linear and<br />

nonlinear reanalysis problems. It is noted that at some point of nonlinear incremental analysis,<br />

factorization of the stiffness matrix may be necessary. Otherwise the PM solution will prove<br />

to be costlier than a standard solver. Linear reanalysis of optimal placement of bracing <strong>for</strong> a<br />

two-dimensional frame and an elastoplastic analysis of a bridge deck are presented.<br />

Bae and Grandhi [23] use the successive matrix inversion (SMI) method <strong>for</strong> reanalysis of<br />

structural systems. For initialization, the inverse of an initial stiffness matrix K is required.<br />

Subsequently, the applied structural modification K is decomposed into submodifications<br />

K j ( j = 1 DOF (degree of freedom)), each one of which has only the jth nonzero column <strong>for</strong><br />

the DOF × DOF system. This allows advantage to be taken of the Neumann (binomial) series<br />

expansion at the element level in order to obtain a recursive <strong>for</strong>mula <strong>for</strong> finding the inverse<br />

of the modified stiffness matrix K + K instead of inverting it directly. The SMI method<br />

is applied to a truss, frame and plate in linear statics. Approximate (not exact) solutions are<br />

obtained.<br />

An approach proposing improvement of accuracy to the Neumann series expansion was<br />

proposed by Hurtado [24]. To this end, Shanks trans<strong>for</strong>mation (ST) is used to handle large<br />

modifications effectively. A significant improvement compared to the Pade approximation,<br />

described in Chen et al. [25], is demonstrated. Comparison with CA shows that the presented<br />

method is equally accurate, but exhibits faster convergence with the increase of expansion<br />

terms in the Neumann series. Linear examples of trusses are presented.<br />

The term reanalysis in the nonlinear range may be understood in two ways. The first way<br />

is the standard modification to a structural parameter like in linear problems. The second way<br />

is different – it is rather an improvement (reduction of operations) of the Newton–Raphson<br />

procedure, which per<strong>for</strong>ms iterations to follow a nonlinear path. Examples of the different<br />

understanding of reanalysis are applications of the ST method and the Leu and Tsou [26]<br />

method.<br />

Most of the existing reanalysis methods in dynamics concentrate on resolving the modal<br />

problem, in which only modifications to eigenvalues and eigenmodes are considered. This<br />

problem is solved quasi-statically in the frequency domain (no dependence on time has been<br />

investigated). A review of some eigenvalue reanalysis methods can be found in Chen et al. [25].<br />

Recent methods dealing with reanalysis of the eigenproblem are generally named in the<br />

literature as structural dynamic modification (SDM). For solving the SDM problem, Ravi<br />

et al. [27] propose the single-step perturbation method as an alternative to the previously<br />

developed multiple-step perturbation. The single-step approach seems to outrank the multistep

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