Publications

Publications

A HUMAN KNEE JOINT FEM FOR TISSUE STRESS AND STRAIN PREDICTIONS DURING EXERCISE

This technical paper details the biomechanical development and partial validation of a comprehensive human knee joint finite element model designed to predict tissue stress and strain during gait. The study highlights the crucial role of TrueGrid in generating the complex FE mesh, which is fundamental for simulating the knee's intricate mechanics and understanding osteochondral loading.

Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations

This biomechanics paper introduces an Incremental Kernel Ridge Regression model for efficiently predicting soft tissue deformations after maxillofacial surgery, leveraging biomechanical features from finite element models. The method offers high accuracy comparable to full FEM simulations but with significantly reduced computational time, making it ideal for interactive surgical planning. This advancement in computational biomechanics provides a powerful tool for personalized surgical outcomes.

Changes in Lumbar Spinal Ligament Stress Due to Isolated Transected Ligaments

Gregory Allen Von Forell

This biomechanics paper uses a validated finite element model to analyze the effects of isolated lumbar spinal ligament transection on spinal biomechanics, demonstrating increased stress in remaining ligaments and changes in bone remodeling. The study highlights how iatrogenic damage impacts load sharing within the spinal-ligament complex, providing crucial insights for spinal surgery. The FE model's mesh was generated using Abaqus software.

Parametric Comparisons of Intracranial Mechanical Responses from 3 Validated FEM of the Human Head

This biomechanics study compares three human head finite element models, finding significant differences in predicted brain injury metrics (strain, strain rate) despite similar kinematic validation. These discrepancies stem from variations in model properties, interfaces, and element types, highlighting the urgent need for standardization and further validation of intracranial responses in head injury models.

Probabalistic Response of a Validated And Verified Parametric Cervical Spine Finite Element Model

This biomechanics paper develops a probabilistic finite element model of the cervical spine, accounting for variability in soft tissue properties and geometry. The FE model's mesh was robustly generated using Truegrid preprocessing software for accurate geometric representation. By incorporating uncertainty and leveraging FEA, the model provides a more realistic prediction of injury probability, enhancing the understanding of spinal injury biomechanics for risk assessment.