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Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material
Sander Land1, Viatcheslav Gurev2, Sander Arens3
1Department of Biomedical Engineering, King's College London , London, UK.
Cardiac mechanics models are complex, requiring verification. This study introduces three benchmark problems to ensure simulation accuracy and replicability for cardiac physiology research. Solutions are publicly available for future software verification.
Area of Science:
- Computational biology
- Biomechanical modeling
- Cardiac physiology
Background:
- Cardiac mechanics models are essential for understanding heart function but lack standardized verification methods.
- These models involve complex factors like anisotropic tissue properties and active contraction.
- Existing simulation codes need a consistent approach to ensure accuracy and replicability.
Purpose of the Study:
- To establish a set of benchmark problems for verifying cardiac mechanics simulation software.
- To address the need for consistent accuracy and replicability in computational cardiac models.
- To facilitate the validation of current and future cardiac mechanics solvers.
Main Methods:
- Development of three benchmark problems specifically designed to test cardiac mechanics solvers.
- Inclusion of tests for pressure-type forces dependent on geometry, anisotropic material properties, and active contractile forces.
- Involvement of 11 independent research groups to solve the benchmarks and generate consensus solutions.
Main Results:
- Consensus solutions were generated by 11 different groups, demonstrating high agreement.
- Typical differences in higher-resolution solutions were approximately 0.5%.
- Consistent results were observed across various finite element types (linear, quadratic, cubic) and incompressible material simulation approaches.
Conclusions:
- The developed benchmark problems provide a reliable method for verifying cardiac mechanics simulation accuracy.
- The consensus solutions and available online tools will aid in the validation of future cardiac mechanics software.
- This work establishes a foundation for ensuring the reliability and comparability of computational models in cardiac physiology.
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