Related Experiment Video
Updated: May 25, 2026

11:28
A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
Published on: May 18, 2015
Considerations for reporting finite element analysis studies in biomechanics
Ahmet Erdemir1, Trent M Guess, Jason Halloran
1Computational Biomodeling Core, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA. erdemira@ccf.org
Journal of Biomechanics
|January 13, 2012
Summary
This study proposes reporting guidelines for Finite Element Analysis (FEA) in biomechanics to improve model reliability and reusability. Enhanced documentation ensures transparency and facilitates sharing of simulation-based medical research.
Area of Science:
- Biomedical Engineering
- Computational Biology
- Medical Simulation
Background:
- Simulation-based medicine and complex biological models are crucial for biomedical engineering and clinical research.
- Finite Element Analysis (FEA) is widely used in biomechanics for predicting mechanical phenomena.
- Increasing complexity in FEA models has led to opaque decision-making processes, questioning model reliability for medical applications.
Purpose of the Study:
- To identify resources and reporting parameters for Finite Element Analysis (FEA) studies in biomechanics.
- To enhance the transparency, reproducibility, and reusability of biomechanical models.
- To establish confidence in simulation-based medical research through improved reporting.
Main Methods:
- Literature review to identify existing resources and reporting practices.
- Development of proposed reporting parameters covering model identification, structure, simulation, verification, validation, and availability.
- Categorization of reporting parameters to facilitate selective implementation.
Main Results:
- A comprehensive set of reporting parameters for FEA studies in biomechanics has been identified.
- The proposed parameters address critical aspects of model development and simulation.
- Selective application of these parameters can establish a level of confidence in model reliability.
Conclusions:
- Detailed reporting in FEA studies is essential for enhancing reproducibility and reusability.
- Implementing standardized reporting guidelines will bolster the value and sharing of biomechanical models.
- This work provides a framework for improving the decision-making process in simulation-based medical analysis.
