Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model

A feedforword neural network of multi-layer topologies for systems with hysteretic nonlinearity was constructed based on the Bouc-Wen differential model. The proposed model not only reflects the hysteresis force characteristics of the Bouc-Wen model, but can also determine the corresponding paramete...

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Veröffentlicht in:Проблемы прочности
Datum:2017
Hauptverfasser: Peng, Z., Zhou, C.G.
Format: Artikel
Sprache:English
Veröffentlicht: Інститут проблем міцності ім. Г.С. Писаренко НАН України 2017
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Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/173601
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model / Z. Peng, C.G. Zhou // Проблемы прочности. — 2017. — № 1. — С. 228-233. — Бібліогр.: 10 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
id nasplib_isofts_kiev_ua-123456789-173601
record_format dspace
spelling Peng, Z.
Zhou, C.G.
2020-12-12T15:21:09Z
2020-12-12T15:21:09Z
2017
Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model / Z. Peng, C.G. Zhou // Проблемы прочности. — 2017. — № 1. — С. 228-233. — Бібліогр.: 10 назв. — англ.
0556-171X
https://nasplib.isofts.kiev.ua/handle/123456789/173601
539.4
A feedforword neural network of multi-layer topologies for systems with hysteretic nonlinearity was constructed based on the Bouc-Wen differential model. The proposed model not only reflects the hysteresis force characteristics of the Bouc-Wen model, but can also determine the corresponding parameters. The simulation results demonstrate that the restoring force-displacement curve hysteresis loop closely represents real curves. The trained model can accurately predict the time response of the system. By comparing results obtained by the proposed model with real responses, the model was validated in the presence of noise and exhibits increased modeling precision, good generalizability and anti-interference capability.
en
Інститут проблем міцності ім. Г.С. Писаренко НАН України
Проблемы прочности
Научно-технический раздел
Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model
Использование дифференциальной модели Бука-Вена для моделирования петли гистерезиса кривой усилие-смещение для нелинейной механической системы сейсмозащиты
Article
published earlier
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
title Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model
spellingShingle Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model
Peng, Z.
Zhou, C.G.
Научно-технический раздел
title_short Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model
title_full Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model
title_fullStr Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model
title_full_unstemmed Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model
title_sort modeling of nonlinear isolation system based on bouc-wen differential model
author Peng, Z.
Zhou, C.G.
author_facet Peng, Z.
Zhou, C.G.
topic Научно-технический раздел
topic_facet Научно-технический раздел
publishDate 2017
language English
container_title Проблемы прочности
publisher Інститут проблем міцності ім. Г.С. Писаренко НАН України
format Article
title_alt Использование дифференциальной модели Бука-Вена для моделирования петли гистерезиса кривой усилие-смещение для нелинейной механической системы сейсмозащиты
description A feedforword neural network of multi-layer topologies for systems with hysteretic nonlinearity was constructed based on the Bouc-Wen differential model. The proposed model not only reflects the hysteresis force characteristics of the Bouc-Wen model, but can also determine the corresponding parameters. The simulation results demonstrate that the restoring force-displacement curve hysteresis loop closely represents real curves. The trained model can accurately predict the time response of the system. By comparing results obtained by the proposed model with real responses, the model was validated in the presence of noise and exhibits increased modeling precision, good generalizability and anti-interference capability.
issn 0556-171X
url https://nasplib.isofts.kiev.ua/handle/123456789/173601
citation_txt Modeling of Nonlinear Isolation System Based on Bouc-Wen Differential Model / Z. Peng, C.G. Zhou // Проблемы прочности. — 2017. — № 1. — С. 228-233. — Бібліогр.: 10 назв. — англ.
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first_indexed 2025-12-07T18:16:33Z
last_indexed 2025-12-07T18:16:33Z
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