کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6735829 1429054 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multiple analytical mode decompositions for nonlinear system identification from forced vibration
ترجمه فارسی عنوان
تجزیه حالتهای چندگانه تحلیلی برای شناسایی سیستم غیرخطی از ارتعاش اجباری
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات مهندسی ژئوتکنیک و زمین شناسی مهندسی
چکیده انگلیسی
In this study, multiple analytical mode decompositions (M-AMD) are proposed to identify the parameters of nonlinear structures from forced vibration. For the time-varying damping (or stiffness) coefficient of a weakly-to-moderately nonlinear system, the slow-varying part is first estimated from the system responses and their Hilbert transforms, which is corrected with an adaptive low-pass filter referred to as analytical mode decomposition (AMD). The fast-varying part can then be identified from the responses together with the estimated slow-varying part, which is again corrected with the AMD. The computational efficiency and accuracy of the proposed M-AMD are demonstrated with a Duffing oscillator subjected to harmonic loading. The errors in estimation of all model parameters are less than 3% from uncontaminated displacement responses, which is more accurate compared with the results from Hilbert spectral analysis. Changes of the fast-varying stiffness part have been taken into account with high accuracy. The M-AMD algorithm is then validated with a ¼-scale, 3-story building with one piezoelectric friction damper under earthquake excitations. The parameters of such a semi-active damper are identified with less than 1% error on average.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Structures - Volume 173, 15 October 2018, Pages 979-986
نویسندگان
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