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Parameter optimisation for the behaviour of elastic models over time
1Dept. of Computer Science, University of Aarhus, Denmark.
Studies in Health Technology and Informatics
|November 17, 2004
Summary
This study introduces a new method to optimize parameters for elastic models, enabling comparisons between models with non-transferable parameters. The approach focuses on the time-dependent behavior of these models for accurate equivalence.
Area of Science:
- Materials Science
- Computational Mechanics
- Engineering
Background:
- Comparing elastic models often requires parameter optimization when direct conversion is not feasible.
- Many commonly used elastic models present challenges in parameter transferability.
Purpose of the Study:
- To present a general method for optimizing parameters of elastic models.
- To enable comparison and identification of equivalent behavior between diverse elastic models.
Main Methods:
- Development of a general optimization framework.
- Analysis of elastic model behavior over time.
- Parameter tuning based on time-dependent responses.
Main Results:
- Successful optimization of parameters for various elastic models.
- Demonstration of equivalent behavior through optimized parameters.
- Validation of the method for non-transferable parameter scenarios.
Conclusions:
- The proposed method provides a robust approach for elastic model parameter optimization.
- This facilitates accurate comparison and understanding of elastic models with disparate parameter sets.
- The time-dependent behavior analysis is key to achieving model equivalence.
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