Simplified inverse dynamics models for MR fluid dampers

نویسندگان
چکیده

برای دانلود رایگان 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

ESTIMATION OF INVERSE DYNAMIC BEHAVIOR OF MR DAMPERS USING ARTIFICIAL AND FUZZY-BASED NEURAL NETWORKS

In this paper the performance of Artificial Neural Networks (ANNs) and Adaptive Neuro- Fuzzy Inference Systems (ANFIS) in simulating the inverse dynamic behavior of Magneto- Rheological (MR) dampers is investigated. MR dampers are one of the most applicable methods in semi active control of seismic response of structures. Various mathematical models are introduced to simulate the dynamic behavi...

متن کامل

Controlling structures by inverse adaptive neuro fuzzy inference system and MR dampers

To control structures against wind and earthquake excitations, Adaptive Neuro Fuzzy Inference Systems and Neural Networks are combined in this study. The control scheme consists of an ANFIS inverse model of the structure to assess the control force. Considering existing ANFIS controllers, which require a second controller to generate training data, the authors’ approach does not need anot...

متن کامل

Simplified Variational Principles for Barotropic Fluid Dynamics

We introduce a three independent functions variational formalism for stationary and non-stationary barotropic flows. This is less than the four variables which appear in the standard equations of fluid dynamics which are the velocity field ~v and the density ρ. It will be shown how in terms of our new variable the Euler and continuity equations can be integrated in the stationary case.

متن کامل

Building Training Patterns for Modelling MR Dampers

A method for training patterns validation for modelling MR damper is proposed. The method was validated with two models based on black-box and semi-phenomenological approaches. An input pattern that allows a better identification of the MR damper model was found. Including a frequency modulated displacement and increased clock period in the training pattern, the MR damper model fitting is impro...

متن کامل

MR-driven Computational Fluid Dynamics

Introduction: Knowledge of blood flow patterns in the human body is a critical component in cardiovascular disease diagnosis. In-vivo blood flow is typically assessed either by 3D phase-contrast MRI [1], or by Computational Fluid Dynamics (CFD) calculations [2]. MRI measurements are direct, but offer limited spatio-temporal resolution. Conventional CFD calculations offer "infinite" spatial reso...

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: Engineering Structures

سال: 2006

ISSN: 0141-0296

DOI: 10.1016/j.engstruct.2005.06.013