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Foot And Ankle Forces During An Automobile Collision: The Influence Of Muscles, Elizabeth Hardin, Anne Su, Antonie Van Den Bogert
Foot And Ankle Forces During An Automobile Collision: The Influence Of Muscles, Elizabeth Hardin, Anne Su, Antonie Van Den Bogert
Anne Su Ph.D.
Muscles have a potentially important effect on lower extremity injuries during an automobile collision. Computational modeling can be a powerful tool to predict these effects and develop protective interventions. Our purpose was to determine how muscles influence peak foot and ankle forces during an automobile collision. A 2-D bilateral musculoskeletal model was constructed with seven segments. Six muscle groups were included in the right lower extremity, each represented by a Hill muscle model. Vehicle deceleration data were applied as input and the resulting movements were simulated. Three models were evaluated: no muscles (NM), minimal muscle activation at a brake pedal …
Polynomial Chaos-Based Parameter Estimation Methods Applied To A Vehicle System, Emmanuel Blanchard, Adrian Sandu, Corina Sandu
Polynomial Chaos-Based Parameter Estimation Methods Applied To A Vehicle System, Emmanuel Blanchard, Adrian Sandu, Corina Sandu
Emmanuel Blanchard
Parameter estimation for large systems is a difficult problem, and the solution approaches are computationally expensive. The polynomial chaos approach has been shown to be more efficient than Monte Carlo for quantifying the effects of uncertainties on the system response. This article compares two new computational approaches for parameter estimation based on the polynomial chaos theory for parameter estimation: a Bayesian approach, and an approach using an extended Kalman filter (EKF) to obtain the polynomial chaos representation of the uncertain states and the uncertain parameters. The two methods are applied to a non-linear four-degree-of-freedom roll plane model of a vehicle, …