James F. Unruh

An iterative procedure for the generation of consistent power/response spectrum

Abstract An iterative procedure is presented that allows computation of spectrum-consistent parameters for the description of earthquake/transient motion. The procedure treats the strong motion portion of the earthquake event as being a stationary Gaussian random process, thereby allowing a mapping between the response spectrum and power spectral density function parameters. Several examples of the mapping procedure are presented with comparison to experimental results to demonstrate the validity and usefulness of the approach.

Engine induced structural-borne noise in a general aviation aircraft

Structural borne interior noise in a single engine general aviation aircraft was studied to determine the importance of engine induced structural borne noise and to determine the necessary modeling requirements for the prediction of structural borne interior noise. Engine attached/detached ground test data show that engine induced structural borne noise is a primary interior noise source for the single engine test aircraft, cabin noise is highly influenced by responses at the propeller tone, and cabin acoustic resonances can influence overall noise levels. Results from structural and acoustic finite element coupled models of the test aircraft show that wall flexibility has a strong influence on fundamental cabin acoustic resonances, the lightweight fuselage structure has a high modal density, and finite element analysis procedures are appropriate for the prediction of structural borne noise.

A substructure energy method for prediction of Space Shuttle modal damping

The results of this program demonstrate the validity of a dissipative energy approach for predicting the damping of a four-component Space Shuttle model by means of modal parameters obtained from tests of the individual components. A relationship between modal damping energy per cycle and peak strain (or kinetic) energy is first determined empirically from test data for each component. Undamped analytical models of each component are also developed, and combined into a system model from which are obtained modal kinetic (or strain) energies for its respective modes. These data are then used with the empirical damping curves to apportion the proper amount of damping energy to each component in a combined system mode, and thereby allow a prediction of damping ratio.