Proper orthogonal decomposition, dynamic mode decomposition, wavelet and cross wavelet analysis of a sloshing flow

نویسندگان

چکیده

Internal hydrodynamics and its coupling with structural dynamics are non-negligible processes in the design phase of aerospace systems. An improved understanding nature this would allow for greater flexibility modeling such systems, could lead eventually to development suitable active and/or passive control strategies enhanced performances. In manuscript we apply a number data analysis techniques: proper orthogonal decomposition, dynamic mode decomposition wavelet transform their combination time-resolved images liquid sloshing within an enclosure. We use these techniques identify fluid-dynamic modes space time verify vibrating structures. particular consider transient case water tank mounted on free oscillating cantilever. As acceleration amplitude decays, observe quantify transition from incoherent flow standing waves. Our results show that content is very informative can be used quantitative analysis. main outcome, hydrodynamic identified using POD DMD, related known features flow, as frequency first symmetric surface mode. Additionally perform comparison transforms coefficients measured signals at base. Viewing latter input former output system, able correlate damping cantilever oscillation different regimes field.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Orthogonal Signal Decomposition Based on Empirical Mode Decomposition and Empirical Wavelet Transform Ligi

Empirical mode decomposition (EMD) and Empirical wavelet transform (EWT) are recently developed adaptive signal processing tools. These techniques decompose a signal accordingly to its contained information. The main issue with EMD is its lack of theory and in case of EWT a prior knowledge of the signal is required. IMF’s obtained as a result of applying EMD are quasi-orthogonal .This paper sug...

متن کامل

Short Term Load Forecasting Using Empirical Mode Decomposition, Wavelet Transform and Support Vector Regression

The Short-term forecasting of electric load plays an important role in designing and operation of power systems. Due to the nature of the short-term electric load time series (nonlinear, non-constant, and non-seasonal), accurate prediction of the load is very challenging. In this article, a method for short-term daily and hourly load forecasting is proposed. In this method, in the first step, t...

متن کامل

An Empirical Analysis of Dynamic Multiscale Hedging using Wavelet Decomposition

This paper investigates the hedging effectiveness of a dynamic moving window OLS hedging model, formed using wavelet decomposed time-series. The wavelet transform is applied to calculate the appropriate dynamic minimum-variance hedge ratio for various hedging horizons for a number of assets. The effectiveness of the dynamic multiscale hedging strategy is then tested, both inand out-of-sample, u...

متن کامل

Artificial viscosity proper orthogonal decomposition

We introduce improved reduced-order models for turbulent flows. These models are inspired from successful methodologies used in large eddy simulation, such as artificial viscosity, applied to standardmodels created by proper orthogonal decomposition of flows coupled with Galerkin projection. As a first step in the analysis and testing of our new methodology, we use the Burgers equation with a s...

متن کامل

ذخیره 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 Fluids and Structures

سال: 2022

ISSN: ['1095-8622', '0889-9746']

DOI: https://doi.org/10.1016/j.jfluidstructs.2022.103603