Multiscale Modeling of Bone Fracture and Strength
Award year: 2014-2015
This project will use a novel multiscale computational approach to predict fracture and strength of normal versus osteoporotic bone. Osteoporosis is a bone disease characterized by low bone density and deterioration of bone’s structure, leading to bone fragility and increased risk of fractures. It is a silent disease with no symptoms prior to fractures and no cure, but treatments can slow its progress. Thus, early and accurate diagnosis is crucial. Currently, bone quality is assessed clinically by measuring the bone mineral density while other factors such as bone’s complex hierarchical structure also contribute to bone’s properties. Thus, a new approach is sorely needed for the more accurate diagnosis of osteoporosis. This project will create a multiscale computational model of bone fracture and strength. The complex hierarchical structure of bone will be analyzed in an “ascending” order by considering finest details of substructures, which serve as building blocks of bone. This will be the first experimentally-based multiscale model of bone fracture and strength, and it should have high impact on clinical assessment of bone in health and disease.