Prediction of Rocket Jet Noise by Empirical and Numerical Approaches



Prediction of automobile tire cornering force characteristics by finite element modeling and analysis
Tönük, Ergin; Ünlüsoy, Yavuz Samim (2001-05-01)
In this study, a detailed finite element model of a radial automobile tire is constructed for the prediction of cornering force characteristics during the design stage. The nonlinear stress-strain relationship of rubber as well as a linear elastic approximation, reinforcement, large displacements, and frictional ground contact are modeled. Validity of various simplifications is checked. The cornering force characteristics obtained by the finite element tire model are verified on the experimental setup const...
Prediction of noise transmission in a submerged structure by statistical energy analysis
Cavcar Yayladere, Bahar; Çalışkan, Mehmet; Department of Mechanical Engineering (2012)
The aim of this study is to develop a sound transmission model that can be used to predict the vibration and noise levels of a submerged vessel. The noise transmitted from the mechanical vibrations of the hull of a submarine and the turbulent boundary layer excitation on the submarine are investigated. A simplified physical model of the submarine hull including the effects of bulkheads, end enclosures, ring stiffeners and fluid loading due to the interaction of the surrounding medium is presented in the stu...
Alıcı, Fırat Soner; Sucuoğlu, Haluk (null; 2017-01-13)
Prediction of input energy spectrum: attenuation models and velocity spectrum scaling
Alici, F. S.; Sucuoğlu, Haluk (Wiley, 2016-10-25)
Recent improvements in performance-based earthquake engineering require realistic description of seismic demands and accurate estimation of supplied capacities in terms of both forces and deformations. Energy based approaches have a significant advantage in performance assessment because excitation and response durations, accordingly energy absorption and dissipation characteristics, are directly considered whereas force and displacement-based procedures are based only on the maximum response parameters. En...
Prediction of Nonlinear Drift Demands for Buildings with Recurrent Neural Networks
Kocamaz, Korhan; Binici, Barış; Tuncay, Kağan (2021-09-08)
Application of deep learning algorithms to the problems of structural engineering is an emerging research field. Inthis study, a deep learning algorithm, namely recurrent neural network (RNN), is applied to tackle a problemrelated to the assessment of reinforced concrete buildings. Inter-storey drift ratio profile of a structure is a quiteimportant parameter while conducting assessment procedures. In general, procedures require a series of timeconsuming nonlinear dynamic analysis. In this study, an extensiv...
Citation Formats
Y. Özyörük, “Prediction of Rocket Jet Noise by Empirical and Numerical Approaches,” 2019, Accessed: 00, 2021. [Online]. Available: