Evaluation of Unsteady Loading on Store Trajectories

ABSTRACT: M4 Engineering and Florida State University propose to develop methods for rapidly identifying store/aircraft configurations at elevated risk for adverse separation events.The methods developed will require from the user only data that is typically available prior to detailed influence load collection.One of the approaches will directly make use of independent parametric information for the store, bay, and ejector.Another approach will use these parameters to predict loads data and the ensuing trajectory response.The techniques developed in this effort will complement existing methods by prioritizing cases for investigation with more computationally expensive test and analysis methods.