Reduced order modeling of blades with geometric nonlinearities and contact interactions
نویسندگان
چکیده
This article presents a methodology dedicated to the vibration analysis of turbomachine blades accounting for both geometric nonlinearities and nonlinear blade-tip/casing contacts in numerically efficient way through use reduced order models. Contact is handled with Lagrange multipliers equation motion integrated forward time using an explicit central difference integration scheme. Nonlinear internal forces caused by large displacements are evaluated stiffness evaluation procedure. Three reduction techniques compared this article, namely extension Craig–Bampton method, proper orthogonal decomposition modal derivatives-based approach. These numerical methods applied on open industrial compressor blade model, NASA rotor 37 blade, promote reproducibility results. The first subjected harmonic excitation, without contact interactions. An indicator local global comparison criteria defined more easily compare performance each method. When also contacts, presented results underline that approach particularly well-suited accurate description blade’s dynamics. method then employed in-depth response over wide angular speed range considering typical scenario. Obtained feature frequency domain signals along stress fields. They suggest has strong impact prediction initiated
منابع مشابه
Numerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid
In this article, a coupled computational framework is presented for the numerical simulation of mass transfer under the effects of natural convection phenomena in a field contains water-copper Nano-fluid. This CFD model is build up based on accurate algorithms for spatial derivatives and time integration. The spatial derivatives have been calculated using first order upwind and second order cen...
متن کاملParametric reduced order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities
A method based on Parametric Reduced Order Models to efficiently predict the transient response of aeroelastic systems with concentrated structural nonlinearities is presented. The approach approximates the nonlinear response in a piecewise-linear manner through time integration of sub-linear reduced order models; these are parameterized with respect to the nonlinearity and are efficiently obta...
متن کاملasymptotic property of order statistics and sample quntile
چکیده: فرض کنید که تابعی از اپسیلون یک مجموع نامتناهی از احتمالات موزون مربوط به مجموع های جزئی براساس یک دنباله از متغیرهای تصادفی مستقل و همتوزیع باشد، و همچنین فرض کنید توابعی مانند g و h وجود دارند که هرگاه امید ریاضی توان دوم x متناهی و امیدریاضی x صفر باشد، در این صورت می توان حد حاصلضرب این توابع را بصورت تابعی از امید ریاضی توان دوم x نوشت. حالت عکس نیز برقرار است. همچنین ما با استفاده...
15 صفحه اولApproximate Deconvolution Reduced Order Modeling
This talk proposes an approximate deconvolution reduced order model (AD-ROM). The new AD-ROM is developed within the large eddy simulation reduced order modeling (LES-ROM) framework, in which a differential filter is used to define the large ROM structures and the AD approach is used to solve the ROM closure problem. The AD-ROM is tested in the numerical simulation of a three-dimensional flow p...
متن کاملReduced Order Long Interconnect Modeling
As the size of the integrated circuits become smaller with higher speed of operation, the RLC interconnect effects have greater impact on signal propagation and signal integrity issue that is reflected in terms of noise or cross talk effects and giving rise to delay, ringing, glitches and overshoot, undershoot or false signaling problems etc. (figure-1, [7]). These definitely impose a great cha...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Sound and Vibration
سال: 2021
ISSN: ['1095-8568', '0022-460X']
DOI: https://doi.org/10.1016/j.jsv.2021.116037