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The ability of a model to predict diverse damage mechanisms under multiple loading directions conditions is critical for the safe design of fibre reinforced laminated orthopaedic devices subjected to complex physiological loading conditions.
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The gradient based sizing optimization results in a reduced mass and many active constraints across multiple load directions while the post-processing ensures manufacturability.
Moreover, we identify multiple distinct mechanical unfolding pathways in two loading directions.
Different spar cap configurations and loading directions are examined experimentally to investigate structural behavior associated with multiple nonlinearities leading to structural collapse.
Here, we perform a sequence of multiple loading modes on the same human brain specimen – simple shear in two orthogonal directions, compression, and tension – and characterize the loading-mode specific regional and directional behavior.
Two loading directions were examined by adjusting the purlin fixing direction.
The relationship between load and compression depth is calculated for various twin spacing and loading directions.
The aqueous phase was loaded onto a spin column by multiple loading steps.
As a consequence, the previous model predicted random preferred fiber directions that depended on the arbitrarily calculated principal loading directions.
The sides of the squared specimen are aligned with the two loading directions.
Multiple loading items were placed with best fitting factors conceptually.
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