Evidence map›Paper›PMID 39112616›Full record

ArticleScientific reports2024

Numerical approximation for algorithmic tangent moduli for nonlinear viscoelastic model with CSDA method.

Xinggui Fan, Jinsheng Xu, Xiong Chen

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xinggui FanNanjing University of Science and Technology, Xiaolingwei 200#, Xuanwu District, Nanjing, Jiangsu, China.
Jinsheng XuNanjing University of Science and Technology, Xiaolingwei 200#, Xuanwu District, Nanjing, Jiangsu, China. xujinsheng@njust.edu.cn.
Xiong ChenNanjing University of Science and Technology, Xiaolingwei 200#, Xuanwu District, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work revisits the notion of complex step derivative approximation (CSDA) and presents its use in constitutive model of a class of nonlinear viscoelastic materials. The effectiveness of a CSDA is evaluated by putting it through a series of straightforward examples. After that, the idea of the CSDA is put to use in order to carry out a numerical evaluation of the algorithmic tangent moduli of a viscoelastic constitutive model. The performance of the constitutive models is evaluated through the use of three different numerical tests, and the results are compared to those that were achieved by the application of an analytical method. In comparison to other numerical differentiation techniques, It has been found that the CSDA scheme is the most computationally efficient and robust method of numerical differentiation, regardless of the size of the finite difference interval.

Indexed as

Algorithmic tangent moduliCSDAFinite element methodViscoelastic model

Identifiers

PMID39112616
PMCPMC11637220

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