12.03 Fracture Risk in Human Bones (FriHuB)

           Tel-Aviv University, Israel

Research

Femoral and humerus fractures are common in the elderly population due to osteoporosis, and are often initiated by falling on the side or on an out-stretched arm. Endocrinology MDs do not have an accurate patient-specific measure to well estimate the risk of fracture of an individual, and usually rely on a statistical measure as the dual-energy absorptiometry (DXA) or the Fracture Risk Assessment Tool (FRAX). Quantified computed tomography (QCT), combined with empirical data obtained by biomechanical experiments and computational mechanics may provide the means to enhance our understanding. The central goal is the prediction of fracture risk by considering the interplay between micro-mechanical and macroscopic bone models, validated by experiments. To this end, we propose an interdisciplinary research combining: a) experimental data on fresh frozen human femurs and humeri up to fracture, b) QCT scans prior to fracture and microCT of bone specimens post fracture, c) clinical QCT scans of patients that experienced a fracture, d) high order verified and validated finite element and finite cell method (FCM) of bone tissues, e) micro-mechanics verified FCM for bone tissue at the lamella-scale. A macro-micro analysis will extend present simulation capabilities limited to linear elastic response to the non-linear regime, determining the onset and progression of fracture. Novel numerical fracture initiation and propagation models, based on a phase field model will be developed. Local mesh refinement and order adaption will be essential for an accurate and reliable computation.

Publications

Team

Project team leader

Dr. Stefan Kollmannsberger
Chair for Computation in Engineering

Doctoral researcher

Nina Korshunova
Chair for Computation in Engineering

Doctoral researcher

t.b.d.

Doctoral researcher

Lisa Hug
Chair for Computation in Engineering

Doctoral researcher

t.b.d.

Principal investigator

Professor Ernst Rank
Chair for Computation in Engineering