The purpose of this article is to describe the Bouc-Wen model of hysteresis for structural engineering which is used to describe a wide range of nonlinear hysteretic systems, as a consequence of its capability to produce a variety of hysteretic patterns. This article focuses on the application of the Bouc-Wen model to predict the hysteretic behaviour of reinforced concrete bridge piers. The purpose is to identify the optimal values of the parameters so that the output of the model matches as well as possible the experimental data. Two repaired, retrofitted and reinforced concrete bridge pier specimens (in a 1:6 scale of a real bridge pier) are tested in a laboratory and used for experiments in this article. An identification of Bouc-Wen model's parameters is performed using the force-displacement experimental data obtained after cyclic loading tests on these two specimens. The original model involves many parameters and complex pinching and degrading functions. This makes the identification solution unmanageable and with numerical problems. Furthermore, from a computational point of view, the identification takes too much time. The novelty of this work is the proposal of a simplification of the model allowed by simpler pinching and degrading functions and the reduction of the number of parameters. The latter innovation is effective in reducing computational efforts and is performed after a deep study of the mechanical effects of each parameter on the pier response. This simplified model is implemented in a MATLAB code and the numerical results are well fit to the experimental results and are reliable in terms of manageability, stability, and computational time.

Marano, G.C., Pelliciari, M., Cuoghi, T., Briseghella, B., Lavorato, D., Tarantino, A.M. (2017). Degrading bouc-wen model parameters identification under cyclic load. INTERNATIONAL JOURNAL OF GEOTECHNICAL EARTHQUAKE ENGINEERING, 8(2), 60-81 [10.4018/IJGEE.2017070104].

Degrading bouc-wen model parameters identification under cyclic load

Lavorato, D.;
2017-01-01

Abstract

The purpose of this article is to describe the Bouc-Wen model of hysteresis for structural engineering which is used to describe a wide range of nonlinear hysteretic systems, as a consequence of its capability to produce a variety of hysteretic patterns. This article focuses on the application of the Bouc-Wen model to predict the hysteretic behaviour of reinforced concrete bridge piers. The purpose is to identify the optimal values of the parameters so that the output of the model matches as well as possible the experimental data. Two repaired, retrofitted and reinforced concrete bridge pier specimens (in a 1:6 scale of a real bridge pier) are tested in a laboratory and used for experiments in this article. An identification of Bouc-Wen model's parameters is performed using the force-displacement experimental data obtained after cyclic loading tests on these two specimens. The original model involves many parameters and complex pinching and degrading functions. This makes the identification solution unmanageable and with numerical problems. Furthermore, from a computational point of view, the identification takes too much time. The novelty of this work is the proposal of a simplification of the model allowed by simpler pinching and degrading functions and the reduction of the number of parameters. The latter innovation is effective in reducing computational efforts and is performed after a deep study of the mechanical effects of each parameter on the pier response. This simplified model is implemented in a MATLAB code and the numerical results are well fit to the experimental results and are reliable in terms of manageability, stability, and computational time.
Marano, G.C., Pelliciari, M., Cuoghi, T., Briseghella, B., Lavorato, D., Tarantino, A.M. (2017). Degrading bouc-wen model parameters identification under cyclic load. INTERNATIONAL JOURNAL OF GEOTECHNICAL EARTHQUAKE ENGINEERING, 8(2), 60-81 [10.4018/IJGEE.2017070104].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/342497
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