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A time-dependent parametric model order reduction technique for modelling indirect bearing force measurements

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© 2014 Elsevier Ltd. Model order reduction is frequently used to keep computational effort affordable at the expenseof a minimal loss of accuracy. One particularly challenging problem that yet needs to besolved satisfactorily in this regard is the efficient treatment of time-varying multiple-input/multiple-output behaviour. Recent developments in the field of parametric model order reductionhave led to a novel method that deals with moving loading or boundary conditions, but whereonly a few of themare active at a certain time. This work extends the novel method, named staticmodes sliding, to deal with time-varying multiple-input/multiple-output behaviour for use in dynamicsimulation of three-dimensional models. A parametric relationshipwhich describes the locationof externally applied loads on a linear tetrahedron mesh has been described to form acontinuously time-varying reduction space. A mode tracking technique is inherently incorporatedin this method by interpolating among the correct modes. The dynamic simulation of an indirectdynamic bearing load measurement setup serves as a technically relevant case-study. Moreover,the viability of the proposed strategy in an industrial environmentwith respect to conventional reductiontechniques is discussed. The numerical results demonstrate the potential in the development of dedicated reduction schemes for bearings and gears.
Tijdschrift: Mechanism and Machine Theory
ISSN: 0094-114X
Volume: 83
Pagina's: 152 - 174
Jaar van publicatie:2015
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:1
CSS-citation score:1
Authors from:Higher Education
Toegankelijkheid:Closed