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Biomechanical

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Effects of implant design variations on shoulder instability following reverse shoulder arthroplasty

Effects of implant design variations on shoulder instability following reverse shoulder arthroplasty

Andrea Patricia Caceres

This biomechanics-focused study uses computational modeling to assess the influence of varying implant designs on shoulder stability following reverse shoulder arthroplasty. Results demonstrate that increased glenoid lateralization improves range of motion but also increases muscular loading and potential instability, underscoring the critical need for balanced implant configurations.

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COMPUTATIONAL PREDICTION OF IN-SHOE PRESSURES WITH AND WITHOUT A METATARSAL PAD

COMPUTATIONAL PREDICTION OF IN-SHOE PRESSURES WITH AND WITHOUT A METATARSAL PAD

S. P. Budhabhatti, A. Erdemir, P. R. Cavanagh

This biomechanics study uses finite element analysis and optimization to simulate how a metatarsal pad affects in-shoe plantar pressure distribution during gait. The model successfully replicates experimental trends, showing reduced forefoot pressures with pad use. It highlights the potential of computational biomechanics for designing personalized footwear interventions based on barefoot data.

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Shape Optimization for Head and Knee Impact Featuring Adaptive Mesh Topology and a Discrete Variable

Shape Optimization for Head and Knee Impact Featuring Adaptive Mesh Topology and a Discrete Variable

Nielen Stander, Mike Burger, Suri Balasubramanyam

This study showcases how shape optimization and parametric modeling, supported by adaptive mesh strategies and discrete variable handling, can effectively enhance crashworthiness in vehicle interiors. Using the SRSM framework, it optimizes designs for knee and head impact scenarios while maintaining mesh quality and simulation fidelity across complex design spaces. The results highlight significant gains in occupant protection with minimal iterations.

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Human Response to High-Rate Loading

Human Response to High-Rate Loading

Lance Frazer and Daniel P Nicolella

This study utilizes advanced parametric modeling and shape optimization techniques to develop a probabilistic finite element model of the tibia and talus. By integrating statistical shape analysis with robust mesh correspondence methods, the research captures anatomical variability and predicts fracture risk under high-rate loading conditions.

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Cancellous Bone Strains Indicate Efficacy of Stem Augmentation in Constrained Condylar Knees

Cancellous Bone Strains Indicate Efficacy of Stem Augmentation in Constrained Condylar Knees

This paper investigates the use of modular augmented stems in knee implants to improve tibial fixation using both cadaveric experiments and specimen-specific computational models. The models demonstrated that stems consistently reduce strain in the bone, especially benefiting patients with lower bone quality by transferring load to the distal cortical bone.

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