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Validation of computational models in biomechanics
H B Henninger1, S P Reese, A E Anderson
1Department of Bioengineering, University of Utah, Salt Lake City, Utah 84112, USA.
Summary
Verification and validation (V&V) are crucial for computational biomechanics models. Proper V&V ensures model credibility and prevents erroneous conclusions, especially in patient outcome predictions.
Area of Science:
- Computational Biomechanics
- Scientific Modeling
Background:
- Verification and validation (V&V) are increasingly critical in computational biomechanics.
- Improper application of V&V can lead to inaccurate conclusions, impacting basic science hypotheses and patient outcome predictions.
- Existing reviews often focus on traditional mechanics, necessitating a biomechanics-specific perspective.
Purpose of the Study:
- To present verification and validation concepts within the context of computational biomechanics.
- To discuss current techniques for model validation in biomechanics.
- To encourage wider adoption of V&V processes to enhance model credibility and peer acceptance.
Main Methods:
- Review of existing literature on verification and validation.
- Focus on techniques specifically applicable to computational biomechanics.
- Discussion of model validation strategies.
Main Results:
- Verification and validation are evolving techniques with significant implications for model accuracy.
- Current validation techniques in biomechanics require careful consideration.
- Adoption of V&V can bolster the reliability of computational biomechanics models.
Conclusions:
- Emphasize the importance of rigorous verification and validation in computational biomechanics.
- Highlight the need for specialized V&V approaches in this field.
- Promote the adoption of V&V to increase confidence and acceptance of biomechanical models.
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