Abstract
Computational models in biomechanics are generally unable to incorporate mechanical and anatomical data over the entire range of relevant spatial scales. This chapter proposes the construction of a framework, which unites several methodologies that operate on traditionally different aspects of bone remodelling, bridging the gap between previously incompatible data. The presented framework is used to solve the load adaptation response of the femoral neck as an application and consists of passing data from different sources across a multitude of spatial scales to solve for both organ-level and Haversian-level biomechanical states. The solutions are then stored in a database, to be utilised by a statistical method which can quickly estimate new load adaptation responses for which solutions were not previously generated, cutting down computation time.
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Wang, X., Fernandez, J. (2020). A Mechanostatistical Approach to Multiscale Computational Bone Remodelling. In: Belinha, J., Manzanares-Céspedes, MC., Completo, A. (eds) The Computational Mechanics of Bone Tissue. Lecture Notes in Computational Vision and Biomechanics, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-37541-6_6
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