Professor Weiss also developed finite-element based techniques to incorporate medical image data directly into biomechanics analyses for strain measurement. Fundamental studies of ligament mechanics have included constitutive modeling, elucidation of ligament in situ strains, characterization of multiaxial viscoelastic material behavior, characterization of structure-function relationships, and determining the structural role of non-collagenous components, including decorin proteoglycans and elastin. He developed and validated techniques for subject-specific computational modeling of joint mechanics, and applied these techniques to the mechanics of knee ligaments and patient-specific modeling of mechanics in the hip. Weiss’ research efforts have focused on the areas of experimental and computational biomechanics, primarily applied to the musculoskeletal and cardiovascular soft tissues. He holds the tiles of Professor of Bioengineering, Adjunct Professor in the School of Computing, Adjunct Professor of Orthopedics, and Faculty Member in the Scientific Computing and Imaging Institute at the University of Utah. Professor Weiss received his bachelor’s and master’s degrees in Bioengineering at the University of California, San Diego, his doctorate in Bioengineering at the University of Utah in 1994, and completed postdoctoral training with the Applied Mechanics Group at Lawrence Livermore National Laboratory (1995-96). I will also give an overview of our plans future development. In this presentation, I will discuss the structure and functionality of the software and present examples of application in solid mechanics, fluid mechanics, solute transport, and electrokinetics in biological cells, tissues and organs. Applications of FEBio span all fields of the biomedical sciences, including areas as diverse as multiscale modeling, cell motility and mechanics, cardiovascular mechanics, musculoskeletal biomechanics and tissue engineering. Hundreds of publications have referenced FEBio. There are more than 4,000 registered FEBio users, and components of the FEBio Software Suite (PreView, FEBio, PostView) have been downloaded more than 60,000 times. Since September 2008, funding from NIH has allowed us to extend FEBio to represent mixtures of solid matrix, solvent, and any number of solutes, as well as solute transport across a contact interface in deformable porous media and chemical reactions. We quickly realized that our needs were shared by many. Development of FEBio began over a decade ago, without external funding, to support research in our lab. To address these issues, we developed FEBio, a nonlinear implicit FE framework designed specifically for analysis in biomechanics and biophysics (It provides biologically relevant modeling scenarios, constitutive models and boundary conditions. However, the lack of a software environment that is tailored to the needs of the field has hampered research progress, dissemination of research and sharing of models and results. The finite element (FE) method is by far the most common numerical discretization and solution technique. Computational modeling has become a standard methodology for interpreting the biomechanical and biophysical basis of experimental results, and as an investigative approach in its own right when experimental investigation is difficult or impossible.
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