2011
DOI: 10.1007/s11432-011-4274-z
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Truncation error calculation based on Richardson extrapolation for variable-step collaborative simulation

Abstract: Collaborative simulation is an effective approach to performing simulation analysis for complex systems by integrating models developed for different engineering disciplines. Collaborative simulation issues include the modeling of coupled multidisciplinary systems, and the simulation running time integration of these models that are solved parallelly. Estimation of the local truncation error of coupling models is the key to solve multidisciplinary collaborative simulation problem, which is actually used to res… Show more

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Cited by 7 publications
(11 citation statements)
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“…The multistep numerical methods for solving an ODE suffer from two distinct sources of error. Compared to truncation error, round-off error generally plays only a minor role [19,20]. Therefore, truncation error is the main focus of this research and the estimation of the p-order truncation error can be done using the following formula:…”
Section: Optimization Of the Accuracy Of Multistep Numerical Methods mentioning
confidence: 99%
“…The multistep numerical methods for solving an ODE suffer from two distinct sources of error. Compared to truncation error, round-off error generally plays only a minor role [19,20]. Therefore, truncation error is the main focus of this research and the estimation of the p-order truncation error can be done using the following formula:…”
Section: Optimization Of the Accuracy Of Multistep Numerical Methods mentioning
confidence: 99%
“…[6]) or by adaption before every macro step execution by predictive error estimation, f.i. via extrapolation or energy residuals [7,8]. Some loose coupling methods do not necessarily require any synchronized time steps from the sub-simulations apart from the start time, see f.i.…”
Section: Distinction By Macro Stepsmentioning
confidence: 99%
“…For example, the tool for control algorithm design may involve modeling using block diagrams while a multi-body dynamics package often has 3D modeling capability. The modeling of a MCS system [41] and the estimation of truncation errors [42] have been published elsewhere while this paper is focused on the development of a variable-step algorithm for the distributed and collaborative simulation of MCS systems.…”
Section: Coupling Between Models In Distributed Mcsmentioning
confidence: 99%
“…Then, the errors caused by the integration and interpolation methods can be shown as the left-hand sides of Eqs (10) and (11), respectively. Readers interested in the detailed derivation process of the formulas are referred to [42].…”
Section: Lte For Mcs Problemsmentioning
confidence: 99%
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