A Partitioned Coupling Approach for Electromechanics Simulations of Skeletal Muscles Using FEBio

ABSTRACT This work presents a partitioned coupling approach for electromechanical simulations of skeletal muscles. For the first time, we couple our highly specialized electrophysiology solver, which computes both force generation in muscle cells and action potential propagation in muscle fibers, with an external finite element continuum mechanics solver. In particular, we couple an OpenDiHu electrophysiology solver with an FEBio mechanics solver using the coupling library preCICE. Thereby, we present the FEBio adapter and a customized FEBio material, enabling multi‐scale, multi‐physics simulations using a coupled OpenDiHu‐FEBio approach, and incorporating more complex excitation–contraction dynamics and spatial inhomogeneity than in a standard FEBio simulation. We test the OpenDiHu‐FEBio approach on two muscle geometries and compare it to the existing coupled OpenDiHu–OpenDiHu approach, showing that the OpenDiHu–FEBio approach is faster. Besides, we show that preCICE's coupling overhead is small compared to the simulation's total runtime, even when complex, expensive data mapping methods between OpenDiHu and FEBio are used. Using FEBio instead of the OpenDiHu mechanics solver has additional advantages, including support for unstructured grids, multiple well‐established, verified, and tested material models, and an extensive user community. All in all, the implemented OpenDiHu‐FEBio approach shows how we can combine highly application‐specific muscle software with more general tools in a flexible, efficient way, and is a step forward for future development of application‐specific muscle simulations.

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Publication Details

Journal
PAMM
Published
2026-09-12
DOI
https://doi.org/10.1002/pamm.70203
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Partitioned Coupling Approach for Electromechanics Simulations of Skeletal Muscles Using FEBio

Oliver Röhrle, Dominik Göddeke, Lalith Kumar Doreti, Marian Klink et al.
PAMM
Muscle activation and electromyography studies
article

A Partitioned Coupling Approach for Electromechanics Simulations of Skeletal Muscles Using FEBio

Oliver Röhrle, Dominik Göddeke, Lalith Kumar Doreti, Marian Klink, Miriam Schulte, Yesid Villota‐Narvaez, Robin Lautenschlager, Carme Homs-Pons
article en

Abstract

ABSTRACT This work presents a partitioned coupling approach for electromechanical simulations of skeletal muscles. For the first time, we couple our highly specialized electrophysiology solver, which computes both force generation in muscle cells and action potential propagation in muscle fibers, with an external finite element continuum mechanics solver. In particular, we couple an OpenDiHu electrophysiology solver with an FEBio mechanics solver using the coupling library preCICE. Thereby, we present the FEBio adapter and a customized FEBio material, enabling multi‐scale, multi‐physics simulations using a coupled OpenDiHu‐FEBio approach, and incorporating more complex excitation–contraction dynamics and spatial inhomogeneity than in a standard FEBio simulation. We test the OpenDiHu‐FEBio approach on two muscle geometries and compare it to the existing coupled OpenDiHu–OpenDiHu approach, showing that the OpenDiHu–FEBio approach is faster. Besides, we show that preCICE's coupling overhead is small compared to the simulation's total runtime, even when complex, expensive data mapping methods between OpenDiHu and FEBio are used. Using FEBio instead of the OpenDiHu mechanics solver has additional advantages, including support for unstructured grids, multiple well‐established, verified, and tested material models, and an extensive user community. All in all, the implemented OpenDiHu‐FEBio approach shows how we can combine highly application‐specific muscle software with more general tools in a flexible, efficient way, and is a step forward for future development of application‐specific muscle simulations.

PAMMVol. 26(4)
University of Stuttgart (DE), Stuttgart Technical University of Applied Sciences (DE), Simulation Technologies (United States) (US), University of Bergen (NO)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 20%
Muscle activation and electromyography studies
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