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      Parametric state-time reduction for the transient analysis of multi-physical systems

      , 1 , 2 , * , 1 , 2 , 1 , 2

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      state-time, model reduction, nonlinear reduction

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          Abstract

          This research focusses on computational cost reduction of transient simulations in many-query applications with varying model parameters, initial conditions and parametrised excitations. The typical model reduction approach is limited to the reduction of the dimension of the states or spatial variables, whereas the state-time model order reduction (STMOR) approach reduces both the states and the temporal dimension concurrently. A major novelty in the investigated STMOR approach is that the reduction occurs after time discretisation on an algebraic system of equations (AE).

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          Author and article information

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          ScienceOpen Posters
          ScienceOpen
          27 April 2018
          Affiliations
          [1 ]Departement of Mechanical Engineering, KU Leuven
          [2 ]DMMS Lab, Flanders Make
          [* ]Correspondence: ward.rottiers@ 123456kuleuven.be
          10.14293/P2199-8442.1.SOP-MATH.EYJDZW.v1
          Copyright © 2018

          This work has been published open access under Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com.

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