2013
DOI: 10.1016/j.jfluidstructs.2013.06.006
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Numerical approximations on the predictive responses of plates under stochastic and convective loads

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Cited by 44 publications
(11 citation statements)
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“…In order to correctly describe the partial correlation of the excitation, it is necessary to consider a large number of points on the excited surface and compute a large number of FRFs [24][25]. A study can be found in [26] which highlights the issues induced by the transformation of the pressure distribution into discrete locations (i.e. nodes), in particular the aliasing effect.…”
Section: Models) Discussion On Different Models Andmentioning
confidence: 99%
“…In order to correctly describe the partial correlation of the excitation, it is necessary to consider a large number of points on the excited surface and compute a large number of FRFs [24][25]. A study can be found in [26] which highlights the issues induced by the transformation of the pressure distribution into discrete locations (i.e. nodes), in particular the aliasing effect.…”
Section: Models) Discussion On Different Models Andmentioning
confidence: 99%
“…For a discretized approach, as standard FEM, the evaluation of the structural displacement cross-spectrum matrix to a statistically stationary and ergodic random excitation, such as TBL flow, can be performed as follows [6,10,12]:…”
Section: Modal Approaches For Stochastic Vibration Analysesmentioning
confidence: 99%
“…Even if this is a useful test-case, it is not industrially relevant and only few more complex applications are available. The predictive methodologies actually available in literature are mainly modal-based and energy-based [6,7,8,9,10].…”
Section: Introductionmentioning
confidence: 99%
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“…The classic Finite Element Method (FEM) is a well-framed and accurate method that requires a finite element discretisation of the whole model, implicitly limiting its application range [1,2,3,4,5]. Alternative formulations have also been proposed to reduce the computational effort of the method [6,7,8].…”
Section: Introductionmentioning
confidence: 99%