1992
DOI: 10.1002/eqe.4290210701
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A posteriori local error estimation and adaptive time‐stepping for newmark integration in dynamic analysis

Abstract: SUMMARYA simple u posteriori local error estimate for Newmark time integration schemes in dynamic analysis is presented, based on the concept of a so called 'post-processing' technique. In conjunction with the error estimate, an adaptive timestepping algorithm is described, which adjusts the time step size so that the local error of each time step is within a prescribed error tolerance. Numerical examples given in the paper indicate that the error estimate is asymptotically convergent, computationally efficien… Show more

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Cited by 67 publications
(30 citation statements)
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“…To briefly review the general process of time integration analysis, in view of Figure 3, sizes of time steps or a criterion for adaptive time stepping, e.g. see [47], should be set, first. Then, the main analysis starts from the initial conditions (if needed, after applying a starting procedure [46]); and with marching along the time axis, approximate responses are being determined at discrete time stations, consecutively, based on the formulation of the integration method, and, if needed, some nonlinearity considerations.…”
Section: Brief Introduction and Adaptationmentioning
confidence: 99%
“…To briefly review the general process of time integration analysis, in view of Figure 3, sizes of time steps or a criterion for adaptive time stepping, e.g. see [47], should be set, first. Then, the main analysis starts from the initial conditions (if needed, after applying a starting procedure [46]); and with marching along the time axis, approximate responses are being determined at discrete time stations, consecutively, based on the formulation of the integration method, and, if needed, some nonlinearity considerations.…”
Section: Brief Introduction and Adaptationmentioning
confidence: 99%
“…Efforts for relaxing Equations (5) and implementing larger t are reported in the literature, e.g. adaptive time stepping [20,40] and commenting the implementation of unconditionally stable time integration methods (h = ∞), see [19,41]. Nevertheless, in real problems, convergence and accuracy are not necessarily the only restrictions affecting the selection of the t. An additional restriction is the step size by which some excitations are recorded [8,9,37]; not all excitations are available analytically, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…To briefly review the process of time integration, the sizes of time steps or a criterion for adaptive time stepping, e.g. see [20], should be set before any computation. Then, the analysis starts from the initial conditions (if needed, after applying a starting procedure [21]), and with marching along the time axis (see Figure 1), approximate responses are being determined at discrete time stations, sequentially, based on the formulation of the integration method.…”
Section: Introductionmentioning
confidence: 99%
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“…From the previous studies, the earliest and practical automatic stepping procedure for finite element method is proposed by Zienkiewicz and Xie (1991). Then, Zeng et al (1992) modified Zienkiewicz's method by a new posteriori local error estimator. At present, the automatic time stepping method is widely used in structural and fluid engineering (Hulbert and Jang 1995;Jackson 2012;Tang et al 2008).…”
mentioning
confidence: 99%