For more than 10 years, the Computational Biomechanics Lab has developed computational models to evaluate the performance of orthopaedic implants and influence implant design. The lab has close relationships with orthopaedic implant manufacturers and experience developing custom model solutions to address a variety of clinically relevant questions. Current modeling efforts include high fidelity models of the knee, spine, hip and shoulder, and whole body musculoskeletal modeling.
The Computational Biomechanics Lab specializes in finite element analysis (FEA) techniques with unique capabilities in applying explicit FEA to predict joint mechanics. The lab has experience
- developing subject-specific models from image data,
- modeling complex changing contact conditions including wrapping of ligaments on bone/cartilage,
- predicting kinematics, contact mechanics and stresses/strains in structures,
- developing realistic loading conditions via musculoskeletal modeling, and
- characterizing the impact of variability sources.
Models developed are typically validated to subject-specific experimental data.
The Computational Biomechanics Lab has a strong record of journal publication and external research funding, and a commitment to working with students from undergraduates to PhD students. The lab also has excellent working relationships with software partners Abaqus (Providence, RI) and Simpleware (Exeter, UK).