Structural Stiffness Identification Based on the Extended Kalman Filter Research

المؤلفون المشاركون

Wang, Fenggang
Ling, Xianzhang
Xu, Xun
Zhang, Feng

المصدر

Abstract and Applied Analysis

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-05-21

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الرياضيات

الملخص EN

For the response acquisition of the structure section measuring points, the method of identifying the structural stiffness parameters is developed by using the extended Kalman filter.

The state equation of structural system parameter is a nonlinear equation.

Dispersing the structural dynamic equation by using Newmark-β method, the state transition matrix of discrete state equation is deduced and the solution of discrete state equation is simplified.

The numerical simulation shows that the error of structural recognition doesnot exceed 5% when the noise level is 3%.

It meets the requirements of the error limit of the engineering structure, which indicates that the derivation described in this paper has the robustness for the structural stiffness recognition.

Shear structure parameter identification examples illustrate its applicability, and the method can also be used to identify physical parameters of large structure.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wang, Fenggang& Ling, Xianzhang& Xu, Xun& Zhang, Feng. 2014. Structural Stiffness Identification Based on the Extended Kalman Filter Research. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1013280

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wang, Fenggang…[et al.]. Structural Stiffness Identification Based on the Extended Kalman Filter Research. Abstract and Applied Analysis No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1013280

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wang, Fenggang& Ling, Xianzhang& Xu, Xun& Zhang, Feng. Structural Stiffness Identification Based on the Extended Kalman Filter Research. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1013280

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1013280