Improving the accuracy of the Newmark method through backward error analysis

Abstract We use backward error analysis for differential equations to obtain modified or distorted equations describing the behaviour of the Newmark scheme applied to the transient structural dynamics equation. Based on the newly derived distorted equations, we give expressions for the numerically or algorithmically distorted stiffness and damping matrices of a system simulated using the Newmark scheme. Using these results, we show how to construct compensation terms from the original parameters of the system, which improve the performance of Newmark simulations. The required compensation terms turn out to be slight modifications to the original system parameters (e.g. the damping or stiffness matrices), and can be applied without changing the time step or modifying the scheme itself. Two such compensations are given: one eliminates numerical damping, while the other achieves fourth-order accurate calculations using the traditionally second-order Newmark method. The performance of both compensation methods is evaluated numerically to demonstrate their validity, and they are compared to the uncompensated Newmark method, the generalized- $$\alpha $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> method and the 4th-order Runge–Kutta scheme.

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Publication Details

Journal
Computational Mechanics
Published
2024-12-06
DOI
https://doi.org/10.1007/s00466-024-02580-3
Citations
3
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.84

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article

Improving the accuracy of the Newmark method through backward error analysis

Donát M. Takács, Tamás Fülöp
3 citations
Computational Mechanics
Model Reduction and Neural Networks
0.84
article

Improving the accuracy of the Newmark method through backward error analysis

Donát M. Takács, Tamás Fülöp
article en
3 citations

Abstract

Abstract We use backward error analysis for differential equations to obtain modified or distorted equations describing the behaviour of the Newmark scheme applied to the transient structural dynamics equation. Based on the newly derived distorted equations, we give expressions for the numerically or algorithmically distorted stiffness and damping matrices of a system simulated using the Newmark scheme. Using these results, we show how to construct compensation terms from the original parameters of the system, which improve the performance of Newmark simulations. The required compensation terms turn out to be slight modifications to the original system parameters (e.g. the damping or stiffness matrices), and can be applied without changing the time step or modifying the scheme itself. Two such compensations are given: one eliminates numerical damping, while the other achieves fourth-order accurate calculations using the traditionally second-order Newmark method. The performance of both compensation methods is evaluated numerically to demonstrate their validity, and they are compared to the uncompensated Newmark method, the generalized- $$\alpha $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> method and the 4th-order Runge–Kutta scheme.

Computational MechanicsVol. 75(5)
Budapest University of Technology and Economics (HU), Montavid Thermodynamic Research Group (HU)
Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Openalex Percentile: Top 27%
Model Reduction and Neural Networks
0.84
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Improving the accuracy of the Newmark method through backward error analysis — Donát M. Takács, Tamás Fülöp · Computational Mechanics (2024) | TGRS Research Map | TGRS