Modeling Hysteretic Deteriorating Behavior Using Generalized Prandtl Neural Network

Author:

Farrokh Mojtaba1,Dizaji Mehrdad Shafiei2,Joghataie Abdolreza3

Affiliation:

1. Assistant Professor, Faculty of Aerospace Engineering, K.N. Toosi Univ. of Technology, P.O. Box 16765-3381, Tehran, Islamic Republic of Iran (corresponding author).

2. Former Graduate Student, Dept. of Civil Engineering, Sharif Univ. of Technology, P.O. Box 11365-9313, Tehran, Islamic Republic of Iran.

3. Associate Professor, Dept. of Civil Engineering, Sharif Univ. of Technology, P.O. Box 11365-9313, Tehran, Islamic Republic of Iran.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Reference35 articles.

1. Generalized Masing Approach to Modeling Hysteretic Deteriorating Behavior

2. Adaptive Parametric Identification Scheme for a Class of Nondeteriorating and Deteriorating Nonlinear Hysteretic Behavior

3. Random vibration hysteretic, degrading systems;Baber T. T.;J. Eng. Mech. Div.,1981

4. Nonlinear Structural Control Using Neural Networks

5. Bouc R. (1967). “Force vibration of mechanical system with hysteresis.” 4th Conf. on Nonlinear Oscillation Prague Czechoslovakia 315.

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