Multiple Time-Weighted Residual Methodology for Design and Synthesis of Time Integration Algorithms

Abstract This paper proposes a novel multiple time-weighted residual methodology with new insights to enable the design of generalized linear multi-step algorithms in computational dynamics. Leveraging single, double, and triple time-weighted residuals in single, two, and three-field forms, respectively, we develop a new generation of Generalized Single-Step Single-Solve algorithms for second-order time-dependent systems. This approach yields the GS4-II $$_{p}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mi>p</mml:mi> <mml:mrow/> </mml:mmultiscripts> </mml:math> , GS4-II $$_{p,q}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>q</mml:mi> </mml:mrow> <mml:mrow/> </mml:mmultiscripts> </mml:math> , and GS4-II $$_{p,q,r}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>q</mml:mi> <mml:mo>,</mml:mo> <mml:mi>r</mml:mi> </mml:mrow> <mml:mrow/> </mml:mmultiscripts> </mml:math> computational frameworks, offering analysts a wide bandwidth of design options. Based on the proposed theory, we introduce the V0 $$^*_{\text {TSS}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mtext>TSS</mml:mtext> <mml:mo>∗</mml:mo> </mml:mmultiscripts> </mml:math> schemes, which exhibit numerical properties comparable to those of the existing V0 $$^*$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mo>∗</mml:mo> </mml:mmultiscripts> </mml:math> and traditional schemes, while offering the added benefit of the truly self-starting feature. The much coveted ZOO $$_m$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mi>m</mml:mi> <mml:mrow/> </mml:mmultiscripts> </mml:math> schemes (zero-order overshooting with m roots) are also synthesized to achieve second-order time accuracy in all variables, unconditional stability, zero-order overshooting, controllable numerical dissipation/dispersion, and minimal computational complexity. The relationship between the newly proposed computational frameworks and existing methods is analyzed via a comprehensive overview to date, most of which are included as subsets in the newly proposed methodology. Therefore, the multiple time-weighted residual methodology provides a new insight and in-depth understanding of the advances in the literature, showcasing the significance of the proposed theory. Finally, numerical examples from multidisciplinary applications, encompassing multi-body dynamics, structural dynamics, and heat transfer, are presented to substantiate the proposed methodology.

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Publication Details

Journal
Archives of Computational Methods in Engineering
Published
2025-04-01
DOI
https://doi.org/10.1007/s11831-025-10262-3
Citations
6
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
15.77

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article

Multiple Time-Weighted Residual Methodology for Design and Synthesis of Time Integration Algorithms

Kumar K. Tamma, Nikolaus A. Adams, D. Maxam, Yazhou Wang
6 citations
Archives of Computational Methods in Engineering
Numerical methods for differential equations
15.77
article

Multiple Time-Weighted Residual Methodology for Design and Synthesis of Time Integration Algorithms

Kumar K. Tamma, Nikolaus A. Adams, D. Maxam, Yazhou Wang
article en
6 citations

Abstract

Abstract This paper proposes a novel multiple time-weighted residual methodology with new insights to enable the design of generalized linear multi-step algorithms in computational dynamics. Leveraging single, double, and triple time-weighted residuals in single, two, and three-field forms, respectively, we develop a new generation of Generalized Single-Step Single-Solve algorithms for second-order time-dependent systems. This approach yields the GS4-II $$_{p}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mi>p</mml:mi> <mml:mrow/> </mml:mmultiscripts> </mml:math> , GS4-II $$_{p,q}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>q</mml:mi> </mml:mrow> <mml:mrow/> </mml:mmultiscripts> </mml:math> , and GS4-II $$_{p,q,r}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>,</mml:mo> <mml:mi>q</mml:mi> <mml:mo>,</mml:mo> <mml:mi>r</mml:mi> </mml:mrow> <mml:mrow/> </mml:mmultiscripts> </mml:math> computational frameworks, offering analysts a wide bandwidth of design options. Based on the proposed theory, we introduce the V0 $$^*_{\text {TSS}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mtext>TSS</mml:mtext> <mml:mo>∗</mml:mo> </mml:mmultiscripts> </mml:math> schemes, which exhibit numerical properties comparable to those of the existing V0 $$^*$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mo>∗</mml:mo> </mml:mmultiscripts> </mml:math> and traditional schemes, while offering the added benefit of the truly self-starting feature. The much coveted ZOO $$_m$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mi>m</mml:mi> <mml:mrow/> </mml:mmultiscripts> </mml:math> schemes (zero-order overshooting with m roots) are also synthesized to achieve second-order time accuracy in all variables, unconditional stability, zero-order overshooting, controllable numerical dissipation/dispersion, and minimal computational complexity. The relationship between the newly proposed computational frameworks and existing methods is analyzed via a comprehensive overview to date, most of which are included as subsets in the newly proposed methodology. Therefore, the multiple time-weighted residual methodology provides a new insight and in-depth understanding of the advances in the literature, showcasing the significance of the proposed theory. Finally, numerical examples from multidisciplinary applications, encompassing multi-body dynamics, structural dynamics, and heat transfer, are presented to substantiate the proposed methodology.

Archives of Computational Methods in EngineeringVol. 32(7)
Twin Cities Orthopedics (US), Technical University of Munich (DE)
Alexander von Humboldt-Stiftung
Openalex Percentile: Top 1%
Numerical methods for differential equations
15.77
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