One example of uncertainties in aircraft cabin development is carry-on baggage, which is quite heterogeneous concerning its mass, stiffness, damping and density properties. In addition, it is placed nearly arbitrarily in the overhead stowage bins of an aircraft. Accelerations due to turbulences or while landing can temporarily apply forces of a multiple of the carry-on baggage's own weight to the overhead stowage bin and furthermore onto the aircraft structure. This paper shows exemplarily how to incorporate uncertainties of product usage entirely virtually by using Stochastic Simulation of Finite-Element Analysis (FEA) already in the early phases of product development. It describes the execution and analysis of an uncertainty management technique with Stochastic Simulation for an LS-DYNA model of an exemplary system consisting of an overhead stowage bin and carry-on baggage excited by external acceleration. The Stochastic Simulation results are evaluated using statistical methods like Monte Carlo Method. For this procedure the scattering system parameters are defined in a meta-data model with their specific probability density functions. From this meta-data model manifold random samples are drawn for all parameters with respect to their specific distribution function. Multiple duplicates of the deterministic model are created and every one of them is assigned with a set of drawn random samples. All models are computed with LS-DYNA on a Linux cluster and the results are extracted to a uniform database format. The system behavior of the entire population can be deduced from the analysis of the respective samples. It is shown which parameters are of paramount influence on system behavior and may hence result in a critical load due to carry-on baggage.
Uncertainty assessment with stochastic simulation in aircraft cabin development
2007
12 Seiten, 9 Bilder, 1 Tabelle, 13 Quellen
Aufsatz (Konferenz)
Englisch
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