Implementation of an Uncertainty Analysis Process to SEA Predictions Boeing Commercial Airplanes

Format:

Conference/Event

Author/Creator:

Cousineau-Bouffard, Guillaume, author.

Conference Name:

SAE 2007 Noise and Vibration Conference and Exhibition (2007-05-15 : St. Charles, Illinois, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2007

Summary:

A process is implemented to propagate uncertainties inherent to the Statistical Energy Analysis (SEA) modeling practice to variance in predictions. A Monte Carlo based approach is scripted for the VA-One environment to account for uncertainties in gross parameters of SEA model subsystems. The variance module of the commercial software is used to estimate possible variations in local modal properties. A first-order expansion solution is applied to integrate uncertainties in the power inputs of the system. The impact of each type of source is assessed in computing overall variance in predictions. The process is applied to analysis of in-flight interior cabin noise predictions using a simplified aft fuselage section SEA model

Notes:

Vendor supplied data

Publisher Number:

2007-01-2312

Access Restriction:

Restricted for use by site license