Computational Biomechanics

Research in musculoskeletal biomechanics encompasses the behavior of isolated tissue such as bone, cartilage, ligament, tendon, and muscle as well as research on the interaction of these tissues and body movement. Computational biomechanics research at UMKC includes research to predict loading on joint tissues (i.e. cartilage, menisci, and ligaments) during movement as well as tissue level models of biological structures. Various funded projects in computational biomechanics are described below.

Recent and Current Research

Dynamic Simulation of Joints Using Multi-Scale Modeling

Principal Investigator(s): Trent Guess, Ph.D.
Co-Principal Investigator(s): Ganesh Thiagarajan, Ph.D., P.E., Reza Derakshani, Ph.D.
Funded by: The National Science Foundation (NSF), $453,990, 09/01/05 to 08/31/09
Award Number: CMS-0506297
Goal: Develop computational models of the knee that accurately represent the loading and interaction of knee structures and that also have the computational efficiency for inclusion in musculoskeletal models. The project also includes development of surrogate models, including neural network models of the human tibio-femoral joint and structures.

Finite Element Modeling of Mouse Forearm Bones

Principal Investigator(s): Mark L. Johnson, Ph.D., Ganesh Thiagarajan, Ph.D., P.E., Walter Leon-Sallas, Ph.D.
Funded by: The UMKC Center for Mineralized Tissue
Goal: The project involves the finite element analysis of mouse radius and ulna subjected to static loading. To develop strain maps in the bone and correlate it to bone formation caused by mechanical strain.