12.03 Fracture Risk in Human Bones (FriHuB)
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.
Hug, L., Potten, M., Stockinger, G., Thuro, K., Kollmannsberger, S. (2022). A three-field phase-field model for mixed-mode fracture in rock based on experimental determination of the mode II fracture toughness. Engineering with Computers. doi: 10.1007/s00366-022-01684-9
Alaimo, G., Carraturo, M., Korshunova, N., Kollmannsberger, S. (2021). Numerical evaluation of high cycle fatigue life for additively manufactured stainless steel 316L lattice structures. Material Design and Processing Communication 3 (4), pp. e249, Wiley. doi: 10.1002/mdp2.249
Korshunova, N., Alaimo, G., Hosseini, S. B., Carraturo, M., Reali, A., Niiranen, J., Auricchio, F., Rank, E., Kollmannsberger, S. (2021). Bending behavior of octet-truss lattice structures: modelling options, numerical characterization and experimental validation. Materials & Design. doi: 10.1016/j.matdes.2021.109693
Korshunova, N., Alaimo, G., Hosseini, S. B., Carraturo, M., Reali, A., Niiranen, J., Auricchio, F., Rank, E., Kollmannsberger, S. (2021). Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures. Additive Manufacturing 41, pp. 101949. doi: 10.1016/j.addma.2021.101949
Korshunova, N., Papaioannou, I., Kollmannsberger S., Straub, D., Rank, E. (2021). Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures. Computer Methods in Applied Mechanics and Engineering 385 (1), pp. 114049.
doi: https://doi.org/10.1016/j.cma.2021.114049
Paolini, A., Korshunova, N., Kollmannsberger, S., Rank, E. (2021). Multiscale analysis of high damping composites using the finite cell and the mortar method. International Journal of Structural Stability and Dynamics. doi: 10.1142/S0219455421501492
Hug, L., Kollmannsberger, S., Yosibash, Z., Rank, E. (2020). A 3D benchmark problem for crack propagation in brittle fracture. Computer Methods in Applied Mechanics and Engineering.
doi: 10.1016/j.cma.2020.112905
Korshunova, N., Jomo, J., Lékó, G., Reznik, D., Balázs, P., Kollmannsberger, S. (2020). Image-based material characterization of complex microarchitectured additively manufactured structures. Computers and Mathematics with Applications. doi: 10.1016/j.camwa.2020.07.018
Wassermann, B., Korshunova, N., Kollmannsberger, S., Rank, E., Elber, G. (2020). Finite Cell Method for functionally graded materials based on V-models and homogenized microstructures. Advanced Modeling and Simulation in Engineering Sciences - (7), pp. 49. doi: 10.1186/s40323-020-00182-1
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.a.
Doctoral Researcher
Lisa Hug
Chair for Computation in Engineering
Doctoral Researcher
t.b.a.
Principal Investigator
Professor Ernst Rank
Chair for Computation in Engineering
Principal Investigator
Professor Zohar Yosibash
Computational Mechanics & Experimental Biomechanics Laboratories, Tel-Aviv University