Uncertainty quantification for personalized analyses of human proximal femurs.

@article{Wille2016UncertaintyQF,
  title={Uncertainty quantification for personalized analyses of human proximal femurs.},
  author={Hagen Wille and Martin Ruess and Ernst Rank and Zohar Yosibash},
  journal={Journal of biomechanics},
  year={2016},
  volume={49 4},
  pages={
          520-7
        }
}
Computational models for the personalized analysis of human femurs contain uncertainties in bone material properties and loads, which affect the simulation results. To quantify the influence we developed a probabilistic framework based on polynomial chaos (PC) that propagates stochastic input variables through any computational model. We considered a stochastic E-ρ relationship and a stochastic hip contact force, representing realistic variability of experimental data. Their influence on the… CONTINUE READING
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