Biomechanical

Publications

Importance of an Ellipsoidal Left Ventricular Geometry for Diastolic and Systolic Function

Using patient-specific FE biomechanics, this work demonstrates that surgical reduction of LV volume lowers peak myofiber stress and boosts systolic elastance but at the cost of stiffer diastolic filling, resulting in a net decline in Starling‐mediated pump performance in most cases. A virtual return to a more ellipsoidal LV geometry recovers both diastolic compliance and systolic function, revealing the biomechanical importance of postoperative ventricular shape in optimizing SVR outcomes.

Annulus diameter prediction of effective height and coaptation in post-aortic valve repair

This paper uses computational biomechanics to analyze the impact of aortic annulus diameter on key performance metrics of the aortic valve after repair. Utilizing fluid-structure interaction models, it investigates how annulus diameter influences coaptation, effective height, and stress distribution. The findings provide crucial insights for optimizing surgical strategies in aortic valve repair to ensure proper biomechanical function.

Specimen Shape and Loading Conditions on the Parameter Identification of a Viscoelastic Brain Model

Costin D. Untaroiu

This work uncovers how simplifying assumptions in analytical viscoelastic parameter fitting—perfect step loading and uniform strain—lead to underprediction of shear forces in brain tissue tests. By leveraging a three‐dimensional FE model and response‐surface optimization on actual shear ramps, the study derives more accurate shear moduli that align with literature values and highlights the critical role of specimen geometry and loading profiles in biomechanical model validation.

Computational Models Predict Larger Muscle Tissue Strains at Faster Sprinting Speed

This paper utilizes advanced computational biomechanics models to predict localized muscle tissue strains in the biceps femoris during sprinting at various speeds. The study aims to uncover the biomechanical mechanisms contributing to hamstring strain injuries by demonstrating that faster sprinting speeds lead to significantly larger muscle tissue strains. This research provides critical insights for injury prevention in athletes.

Finite Element Prediction of Transchondral Stress and Strain in the Human Hip

C. R. Henak, G. A. Ateshian, J. A. Weiss

This paper uses finite element models to predict transchondral stress and strain in human hip cartilage, a key area in biomechanics. The study investigates mesh convergence and the impact of various cartilage constitutive models on these predictions, aiming to understand the mechanical factors contributing to early hip osteoarthritis. By analyzing stress and strain patterns during daily activities, the research provides crucial insights into cartilage damage mechanisms.