Title of article :
A family of lower- and higher-order transversal linearization techniques in non-linear stochastic engineering dynamics
Author/Authors :
D. Roy، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Abstract :
Sample pathwise numerical integration of noise-driven engineering dynamical systems cannot generally
be performed beyond a limited level of accuracy, especially when the noise processes are modelled
using (filtered) white noises. Recently, a locally transversal linearization (LTL) strategy has been
proposed by the author (Proc Roy Soc London A 2001; 457:539–566) for direct integration of
deterministic and stochastic non-linear dynamical systems. The present effort is focussed on a host of
extensions along with detailed theoretical error analyses of the linearization approach, especially as
applied to problems in non-linear stochastic engineering dynamics. Thus, to begin with, estimates of
local and global error orders in the basic LTL scheme are obtained separately for the displacement
and velocity vectors when the system is driven either by a set of additive noises or by an arbitrary
combination of (independently evolving) additive and multiplicative noises. Following this, a new
family of higher-order LTL schemes is proposed in order to improve upon the basic LTL method and
the associated error orders are established. A stepwise implementation of the lower- and higher-order
versions of the LTL method, along with certain computational aspects, is also outlined. The proposed
schemes are numerically illustrated, to a limited extent, for a single degree-of-freedom (SDOF) and
a two degree-of-freedom (TDOF) non-linear engineering systems under additive and/or multiplicative
white noise excitations
Keywords :
Ito–Taylor expansions , local and globalerror orders , higher-order schemes , engineering systems , additive and multiplicative noises , transversal linearization
Journal title :
International Journal for Numerical Methods in Engineering
Journal title :
International Journal for Numerical Methods in Engineering