Contact Mechanics of Soft and Complex Biological Tissues

ended

In the last decade, a number of medical and bio-engineering challenges, requiring a deep understanding of the phenomena occurring at biological interfaces, have intensified scientific interest in the field of biological contact mechanics. BIOCONTACT will develop an innovative methodology to tackle bio-lubricated contacts involving soft tissues in the presence of complex fluids, enhancing the understanding of these interactions, by pursuing new models and numerical methodologies, specifically suited for this class of problem. This approach is key to provide long-term societal benefits by solving long-standing issues including the prevention of hospital bedsores, the mechanical compatibility of prosthetic implants or contact lens, and the optimization of surgical procedures and tools. In particular, my vision is to first build a mechanical model for biological soft tissues that specifically uses constitutive laws for multi-layered linear viscoelastic materials. This model will be then implemented in a newly developed contact mechanics solver, based on improved Boundary Element Method schemes that I have recently proposed, and that will be able to capture specific chemo-mechanical local responses adopting mean potentials that rely on atomistic and molecular descriptions of the interface. In the framework of inverse analysis, the material properties of individual layers will be tuned to best replicate the experimental behavior captured using an innovative procedure. This relies on a new scale separation methodology and is able to probe different zones and layers within the tissue. Finally, in order to provide a complete and widely applicable tool, solid-liquid interaction will be addressed by coupling the contact model with a lubrication model, based on non-Newtonian Reynolds theory. The development of this ready-to-use numerical tool will foster the uptake of my proposed methodologies for use in the above mentioned complex cases of industrial and medical relevance.