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134 Smart Technologies <strong>for</strong> Safety Engineering<br />

of the system transfer functions ˜D f iN relating the response in the ith sensor location to local<br />

impulse loading in the Nth potentially load-exposed DOF.<br />

In Equation (26) T is the maximum system response time (i.e. the maximum propagation<br />

time of an elastic wave between a loading-exposed DOF and a sensor). Due to the intended<br />

limited number of sensors, the considered system is rarely collocated; thus T > 0. The<br />

measurements and the reconstruction process may be triggered by a strong excitation (e.g. an<br />

impact), which is picked up delayed at most T ; hence the time shift is necessary.<br />

In real-world applications continuous responses are rarely known and so Equation (26)<br />

should be discretized with respect to time. With the simplest quadrature rule it takes the<br />

following <strong>for</strong>m:<br />

εi(t) =<br />

t<br />

τ=−T<br />

D f i (t − τ)T f(τ) (27)<br />

where D f i is the discretized and accordingly rescaled system transfer function Df i = t ˜D f i .<br />

Equation (27), rewritten <strong>for</strong> each sensor location i and each measurement time instance t, can<br />

be stated in the <strong>for</strong>m of a general linear equation:<br />

ε = D f f (28)<br />

where ε is the vector of system responses in all sensor locations i and measurement time<br />

instances t = 0,...,T , loading vector f represents the loading <strong>for</strong>ces in all loading-exposed<br />

DOFs and in all loading time instances τ =−T,...T , while D f is the system transfer matrix<br />

compound of discretized D f i .<br />

4.3.1.2 Elastoplastic Systems<br />

The description of system dynamics stated above can be extended to include the elastoplastic<br />

system behavior by combining the computationally effective virtual distortion method (VDM)<br />

[18] with the return-mapping algorithm of Simo and Hughes [29]. The small de<strong>for</strong>mation<br />

restriction still applies and the extension is obviously at the cost of the linearity. For notational<br />

simplicity the concept is presented here <strong>for</strong> trusses only and εi(t) denotes in this subsection<br />

the strain in the ith truss element. Nevertheless, with inessential modifications (which result,<br />

however, in much notational overhead), the concept is readily applicable to other types of<br />

structures and linear sensors.<br />

Equation (26) in the elastoplastic case has to take into account the effect of the plastic<br />

distortions of the truss elements,<br />

εi(t) =<br />

t<br />

τ=−T<br />

D f i (t − τ)T f(τ) +<br />

t<br />

τ=−T<br />

D ε i (t − τ)T β 0 (τ) (29)<br />

where vector β 0 contains the discretized plastic distortions of all truss elements and D ε i is<br />

the vector of the discrete system transfer functions Dε ij , which relate the response in the ith<br />

sensor location (i.e. the strain in the ith element according to the convention of this subsection)<br />

to the unit plastic distortion of the jth truss element. Equation (29), being very similar to<br />

Equation (26), seems to be linear, but it obviously cannot be the case here. One of the reasons<br />

is that the plastic distortions β 0 are nonlinearly dependent on the loading f.

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