Enriching harmonic balance with non‐smooth Bernoulli bases for accelerated convergence of non‐smooth periodic systems

• A novel enriched HBM is proposed to deal with non-smooth systems; • It uses non-smooth Bernoulli bases to compensate low-smooth part of the solution so as to accelerate the convergence; • It outperforms conventional HBM in solving periodic systems with non-smooth restoring and/or external forces; • It can well capture the discontinuity (or non-smoothness) of the solution. The harmonic balance method (HBM) has been widely applied to get the periodic solution of nonlinear systems, however, its convergence rate as well as computation efficiency is dramatically degraded when the system is highly non-smooth, e.g., discontinuous. In order to accelerate the convergence, an enriched HBM is developed in this paper where the non-smooth Bernoulli bases are additionally introduced to enrich the conventional Fourier bases. The basic idea behind is that the convergence rate of the HB solution, as a truncated Fourier series, can be improved if the smoothness of the solution becomes finer. Along this line, using non-smooth Bernoulli bases can compensate the highly non-smooth part of the solution and then, the smoothness of the residual part for Fourier approximation is improved so as to achieve accelerated convergence. Numerical examples are conducted on systems with non-smooth restoring and/or external forces. The results confirm that the proposed enriched HBM indeed increases the convergence rate and the increase becomes more significant if more non-smooth bases are used.

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Publication Details

Journal
Theoretical and Applied Mechanics Letters
Published
2024-12-12
DOI
https://doi.org/10.1016/j.taml.2024.100562
Citations
1
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.73

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article

Enriching harmonic balance with non‐smooth Bernoulli bases for accelerated convergence of non‐smooth periodic systems

Li Wang, J. L. Huang, Yu Zhou
1 citations
Theoretical and Applied Mechanics Letters
Numerical methods for differential equations
0.73
article

Enriching harmonic balance with non‐smooth Bernoulli bases for accelerated convergence of non‐smooth periodic systems

Li Wang, J. L. Huang, Yu Zhou
article en
1 citations

Abstract

• A novel enriched HBM is proposed to deal with non-smooth systems; • It uses non-smooth Bernoulli bases to compensate low-smooth part of the solution so as to accelerate the convergence; • It outperforms conventional HBM in solving periodic systems with non-smooth restoring and/or external forces; • It can well capture the discontinuity (or non-smoothness) of the solution. The harmonic balance method (HBM) has been widely applied to get the periodic solution of nonlinear systems, however, its convergence rate as well as computation efficiency is dramatically degraded when the system is highly non-smooth, e.g., discontinuous. In order to accelerate the convergence, an enriched HBM is developed in this paper where the non-smooth Bernoulli bases are additionally introduced to enrich the conventional Fourier bases. The basic idea behind is that the convergence rate of the HB solution, as a truncated Fourier series, can be improved if the smoothness of the solution becomes finer. Along this line, using non-smooth Bernoulli bases can compensate the highly non-smooth part of the solution and then, the smoothness of the residual part for Fourier approximation is improved so as to achieve accelerated convergence. Numerical examples are conducted on systems with non-smooth restoring and/or external forces. The results confirm that the proposed enriched HBM indeed increases the convergence rate and the increase becomes more significant if more non-smooth bases are used.

Theoretical and Applied Mechanics LettersVol. 15(1)
Sun Yat-sen University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 27%
Numerical methods for differential equations
0.73
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