This invention discloses a novel method and
system for constructing a three-dimensional numerical model of the foot and shoe. The method first acquires foot and shoe data from a subject wearing footwear in three postures:
toe-landing, static standing, and
heel-landing, using
spiral CT scans. Based on the acquired scan data, and after
mesh generation and material property assignment, a three-dimensional finite element numerical model of the foot and shoe is established. Static simulations are performed by inputting different
ligament elastic moduli and Poisson's ratio parameters into the three-dimensional finite element numerical model of the foot and shoe, and setting boundary conditions for the corresponding postures, to obtain simulated values of
peak pressure on the sole and shoe sole and deformation in specific areas. Simultaneously, physical tests are conducted to obtain measured values.
Error analysis is performed between the simulated and measured values, and the optimal set of parameters with the smallest
total error is selected by adjusting the
ligament parameters to construct a standard three-dimensional numerical model of the foot and shoe. This invention combines multi-posture mechanical response and
ligament parameter optimization to achieve high-precision
verification and correction of the foot and shoe model.