Implicit s-sub-step time integration schemes with (s+1)th-order accuracy and dissipation control

We propose a family of higher-order implicit s -sub-step time integration methods achieving ( s +1)th-order accuracy and dissipation control for 2≤ s ≤5 for the systems under external loadings. These schemes allow users to control numerical dissipation through a parameter ρ ∞ . The methods do not require acceleration vectors during calculations; accelerations can be obtained using a simple process based on higher-order finite differences of the displacements, if needed. To maintain the order of accuracy in systems with external forces, we model the external force at the last sub-step. We present results from several linear and nonlinear examples to validate our theoretical findings, indicating that the proposed method offers more accurate responses compared to conventional methods with similar or reduced computational costs. The MATLAB source code implementing the proposed methods is available at: https://github.com/LeeChanJuKor/HDSUCI.git .

Authors

Institutions

Publication Details

Journal
Computers & Structures
Published
2025-10-04
DOI
https://doi.org/10.1016/j.compstruc.2025.107949
Citations
2
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
5.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implicit s-sub-step time integration schemes with (s+1)th-order accuracy and dissipation control

Chanju Lee, Gunwoo Noh
2 citations
Computers & Structures
Numerical methods for differential equations
5.26
article

Implicit s-sub-step time integration schemes with (s+1)th-order accuracy and dissipation control

Chanju Lee, Gunwoo Noh
article en
2 citations

Abstract

We propose a family of higher-order implicit s -sub-step time integration methods achieving ( s +1)th-order accuracy and dissipation control for 2≤ s ≤5 for the systems under external loadings. These schemes allow users to control numerical dissipation through a parameter ρ ∞ . The methods do not require acceleration vectors during calculations; accelerations can be obtained using a simple process based on higher-order finite differences of the displacements, if needed. To maintain the order of accuracy in systems with external forces, we model the external force at the last sub-step. We present results from several linear and nonlinear examples to validate our theoretical findings, indicating that the proposed method offers more accurate responses compared to conventional methods with similar or reduced computational costs. The MATLAB source code implementing the proposed methods is available at: https://github.com/LeeChanJuKor/HDSUCI.git .

Computers & StructuresVol. 318
Korea University (KR)
Openalex Percentile: Top 4%
Numerical methods for differential equations
5.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.