Evidence map›Paper›PMID 36844810›Full record

ArticleFractal and fractional2022

A GENERAL RETURN-MAPPING FRAMEWORK FOR FRACTIONAL VISCO-ELASTO-PLASTICITY.

Jorge L Suzuki, Maryam Naghibolhosseini, Mohsen Zayernouri

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Article in Fractal and fractional, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Bayesian Uncertainty Quantification for A Fractional-Order Model of the Human Ear.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jorge L SuzukiDepartment of Mechanical Engineering and Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Maryam NaghibolhosseiniDepartment of Mechanical Engineering and Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Mohsen ZayernouriDepartment of Mechanical Engineering and Department of Statistics and Probability, MichiganState University, East Lansing, MI 48824, USA.

Funding

DEIA Mentorship Supplement to Early Career Research (ECR) R21 AwardR21DC020003 · NIDCD · MICHIGAN STATE UNIVERSITY · PI NAGHIBOLHOSSEINI, MARYAM · 2022 to 2024
$899k
Studying the Laryngeal Mechanisms Underlying Dysphonia in Connected SpeechK01DC017751 · NIDCD · MICHIGAN STATE UNIVERSITY · PI NAGHIBOLHOSSEINI, MARYAM · 2019 to 2023
$689k
NIDCD NIH HHS K01 DC017751NIDCD NIH HHS R21 DC020003
6 · The paper itself

Abstract

We develop a fractional return-mapping framework for power-law visco-elasto-plasticity. In our approach, the fractional viscoelasticity is accounted through canonical combinations of Scott-Blair elements to construct a series of well-known fractional linear viscoelastic models, such as Kelvin-Voigt, Maxwell, Kelvin-Zener and Poynting-Thomson. We also consider a fractional quasi-linear version of Fung's model to account for stress/strain nonlinearity. The fractional viscoelastic models are combined with a fractional visco-plastic device, coupled with fractional viscoelastic models involving serial combinations of Scott-Blair elements. We then develop a general return-mapping procedure, which is fully implicit for linear viscoelastic models, and semi-implicit for the quasi-linear case. We find that, in the correction phase, the discrete stress projection and plastic slip have the same form for all the considered models, although with different property and time-step dependent projection terms. A series of numerical experiments is carried out with analytical and reference solutions to demonstrate the convergence and computational cost of the proposed framework, which is shown to be at least first-order accurate for general loading conditions. Our numerical results demonstrate that the developed framework is more flexible, preserves the numerical accuracy of existing approaches while being more computationally tractable in the visco-plastic range due to a reduction of 50% in CPU time. Our formulation is especially suited for emerging applications of fractional calculus in bio-tissues that present the hallmark of multiple viscoelastic power-laws coupled with visco-plasticity.

Indexed as

fast convolutionfractional quasi-linear viscoelasticitypower-law visco-elasto-plasticity

Identifiers

PMID36844810
PMCPMC9967175

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.