Evidence map›Paper›PMID 37542621›Full record

ArticleBiomechanics and modeling in mechanobiology2023

Development and verification of a physiologically motivated internal controller for the open-source extended Hill-type muscle model in LS-DYNA.

Oleksandr V Martynenko, Fabian Kempter, Christian Kleinbach, Lennart V Nölle, Patrick Lerge, Syn Schmitt, Jörg Fehr

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Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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3 · Its place in the literature

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6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Oleksandr V MartynenkoInstitute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Nobelstr. 15, 70569, Stuttgart, Germany. oleksandr.martynenko@simtech.uni-stuttgart.de.
Fabian KempterInstitute of Engineering and Computational Mechanics, University of Stuttgart, Pfaffenwaldring 9, 70569, Stuttgart, Germany.
Christian KleinbachInstitute of Engineering and Computational Mechanics, University of Stuttgart, Pfaffenwaldring 9, 70569, Stuttgart, Germany.
Lennart V NölleInstitute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Nobelstr. 15, 70569, Stuttgart, Germany.
Patrick LergeInstitute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Nobelstr. 15, 70569, Stuttgart, Germany.
Syn SchmittInstitute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Nobelstr. 15, 70569, Stuttgart, Germany. schmitt@simtech.uni-stuttgart.de.
Jörg FehrInstitute of Engineering and Computational Mechanics, University of Stuttgart, Pfaffenwaldring 9, 70569, Stuttgart, Germany.

Funding

Deutsche Forschungsgemeinschaft EXC 2075 - 390740016Deutsche Forschungsgemeinschaft EXC 310 - 50131014Horizon 2020 No. 768947 "OSCCAR"Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg Juniorprofessorenprogramm des Landes
6 · The paper itself

Abstract

Nowadays, active human body models are becoming essential tools for the development of integrated occupant safety systems. However, their broad application in industry and research is limited due to the complexity of incorporated muscle controllers, the long simulation runtime, and the non-regular use of physiological motor control approaches. The purpose of this study is to address the challenges in all indicated directions by implementing a muscle controller with several physiologically inspired control strategies into an open-source extended Hill-type muscle model formulated as LS-DYNA user-defined umat41 subroutine written in the Fortran programming language. This results in increased usability, runtime performance and physiological accuracy compared to the standard muscle material existing in LS-DYNA. The proposed controller code is verified with extensive experimental data that include findings for arm muscles, the cervical spine region, and the whole body. Selected verification experiments cover three different muscle activation situations: (1) passive state, (2) open-loop and closed-loop muscle activation, and (3) reflexive behaviour. Two whole body finite element models, the 50th percentile female VIVA OpenHBM and the 50th percentile male THUMS v5, are used for simulations, complemented by the simplified arm model extracted from the 50th percentile male THUMS v3. The obtained results are evaluated additionally with the CORrelation and Analysis methodology and the mean squared error method, showing good to excellent biofidelity and sufficient agreement with the experimental data. It was shown additionally how the integrated controller allows simplified mimicking of the movements for similar musculoskeletal models using the parameters transfer method. Furthermore, the Hill-type muscle model presented in this paper shows better kinematic behaviour even in the passive case compared to the existing one in LS-DYNA due to its improved damping and elastic properties. These findings provide a solid evidence base motivating the application of the enhanced muscle material with the internal controller in future studies with Active Human Body Models under different loading conditions.

Indexed as

Models, BiologicalMusclesBiomechanical PhenomenaCervical VertebraeComputer SimulationFemaleFinite Element AnalysisHumansMaleActive muscle modellingFinite element analysisHill-type muscle modelHuman body modelLS-DYNAMuscle control

Identifiers

PMID37542621
PMCPMC10613192

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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.