In biomechanics, the search for a better understanding of multiscale spatial interactions has become an increasingly desirable objective, in order to establish the causal mechanical relationships between the loading of joints, tissues, and cells. Experimental acquisition of mechanical data, while attainable [1], becomes more difficult to obtain as the spatial scale decreases. If one attempts to gather data at different spatial scales simultaneously, also under lifelike loading scenarios, the present technology is limited. Computational modeling, particularly when conducted in a multiscale fashion, may provide solutions and has often been employed to span spatial scales.

This content is only available via PDF.
You do not currently have access to this content.