کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
510320 | 865757 | 2011 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Experimental identification of an uncertain computational dynamical model representing a family of structures
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Experimental identification of an uncertain computational dynamical model representing a family of structures Experimental identification of an uncertain computational dynamical model representing a family of structures](/preview/png/510320.png)
چکیده انگلیسی
We are interested in constructing an uncertain computational model representing a family of structures and in identifying this model using a small number of experimental measurements of the first eigenfrequencies. The prior probability model of uncertainties is constructed using the generalized probabilistic approach of uncertainties which allows both system-parameters uncertainties and model uncertainties to be taken into account. The parameters of the prior probability model of uncertainties are separately identified for each type of uncertainties, yielding an optimal prior probability model. The optimal prior stochastic computational model allows a robust analysis for the family of structures to be carried out.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Structures - Volume 89, Issues 13–14, July 2011, Pages 1440–1448
Journal: Computers & Structures - Volume 89, Issues 13–14, July 2011, Pages 1440–1448
نویسندگان
A. Batou, C. Soize, M. Corus,