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    Neural network-PID controller for roll fin stabilizer

    , Article Polish Maritime Research ; Volume 17, Issue 2 , 2010 , Pages 23-28 ; 12332585 (ISSN) Ghassemi, H ; Dadmarzi, F ; Ghadimi, P ; Ommani, B ; Sharif University of Technology
    Abstract
    Fin stabilizers are very effective devices for controlling the ship roll motion against external wave-generated moments. Lift forces due to flow around fin with an angle of attack produce anti - roll moment. Therefore control of attack angle plays important role in reducing roll of ships. This paper presents results of using a combined neural network and PID for roll control of ship with small draught. Numerical results are given of around-fin flow analysis with considering free surface effect modelled by neural network and imposed to controlling loop. Hydraulic machinery constraints are also considered in the modelling. The obtained results show good performance of the controller in... 

    Application of nonlocal theory in dynamic pull-in analysis of electrostatically actuated micro and nano beams

    , Article Proceedings of the ASME Design Engineering Technical Conference, 28 August 2011 through 31 August 2011, Washington, DC ; Volume 7 , 2011 , Pages 255-261 ; 9780791854846 (ISBN) Ahmadian, M. T ; Pasharavesh, A ; Fallah, A ; Sharif University of Technology
    2011
    Abstract
    One of the most important phenomena related to electrically actuated micro and nano electromechanical systems (MEMSNEMS) is dynamic pull-in instability which occurs when the electrical attraction and beam inertia forces are more than elastic restoring force of the beam. According to failure of classical mechanics constitutive equations in prediction of dynamic behavior of small size systems, nonlocal theory is implemented here to analyze the dynamic pull-in behavior. Equation of motion of an electrostatically actuated micro to nano scale doubly clamped beam is rewritten using differential form of nonlocal theory constitutive equation. To analyze the nonlocal effect equation of motion is... 

    Iterative implicit integration procedure for hybrid simulation of large nonlinear structures

    , Article Earthquake Engineering and Structural Dynamics ; Volume 40, Issue 9 , October , 2011 , Pages 945-960 ; 00988847 (ISSN) Mosqueda, G ; Ahmadizadeh, M ; Sharif University of Technology
    2011
    Abstract
    A fully implicit iterative integration procedure is presented for local and geographically distributed hybrid simulation of the seismic response of complex structural systems with distributed nonlinear behavior. The purpose of this procedure is to seamlessly incorporate experimental elements in simulations using existing fully implicit integration algorithms designed for pure numerical simulations. The difficulties of implementing implicit integrators in a hybrid simulation are addressed at the element level by introducing a safe iteration strategy and using an efficient procedure for online estimation of the experimental tangent stiffness matrix. In order to avoid physical application of... 

    Identification of inelastic shear frames using the prandtl-ishlinskii model

    , Article Scientia Iranica ; Volume 16, Issue 1 A , 2009 , Pages 43-49 ; 10263098 (ISSN) Farrokh, M ; Joghataie, A ; Sharif University of Technology
    2009
    Abstract
    In this paper, a new method is proposed for identification of inelastic shear frame structures with hesteresis, using data collected on their dynamic response. It uses the. Prandtl-Ishlinskii rate independent model for hysteresis, which was originally used in the field of plasticity and ferromagnetism. The proposed identification method is capable, of identifying the. mass, damping and restoring force of a frame, structure, which can be. used in forming the. equations of motion of the.frame. By solving the equations of motion, the. dynamic response is predicted. The method is based on the.combined use. of Quadratic Programming (QP) and Genetic Algorithms (GA). First, assuming a set of... 

    Dynamic identification of inelastic shear frames by using Prandtl-Ishlinskii model

    , Article 18th IASTED International Conference on Modelling and Simulation, MOAS 2007, Montreal, QC, 30 May 2007 through 1 June 2007 ; 2007 , Pages 284-288 ; 10218181 (ISSN) ; 9780889866638 (ISBN) Farrokh, M ; Joghataie, A ; Sharif University of Technology
    2007
    Abstract
    In this paper, a new method is proposed for the identification of inelastic shear frame structures with hysteresis, using data collected on their dynamic response. It uses the Prandtl-Ishlinskii rate independent model for hysteresis. The proposed identification method is capable of identifying the mass, damping and restoring force of a frame structure, which can be used in forming the equations of motion of the frame. By solving the equations of motion, the dynamic response is predicted. The method is based on the combined using of the Quadratic Programming (QP) and Genetic Algorithms (GA). First, assuming a set of Prandtl-Ishlinskii constants, the QP is used to find the best frame... 

    Dual criterion equivalent linearization approach for yielding structures under earthquake excitation

    , Article Structural Design of Tall and Special Buildings ; Volume 21, Issue 3 , 2012 , Pages 155-177 ; 15417794 (ISSN) Rahmatabadi, P ; Khaloo, A ; Sharif University of Technology
    Abstract
    In order to estimate both maximum displacement and maximum inertia force of bilinear hysteretic system subjected to earthquake motions, an equivalent linearization approach with new effective parameters is presented. Effective mass and effective damping ratio as pair of effective parameters instead of the effective period and effective damping ratio in existing equivalent linear systems are introduced. Two error measures for displacement and inertia force are defined. Error distributions over a two-dimensional parameter space of effective parameters are analysed, and the parameters are determined through a statistical approach with a dual optimization criterion for displacement and inertia...