دورية أكاديمية

FRF-based probabilistic modal parameter identification of structures with known seismic input

التفاصيل البيبلوغرافية
العنوان: FRF-based probabilistic modal parameter identification of structures with known seismic input
المؤلفون: Hizal, Çağlayan
بيانات النشر: Academic Press Ltd- Elsevier Science Ltd
سنة النشر: 2023
المجموعة: Ege University Institutional Repository
مصطلحات موضوعية: Bayes? theorem, Uncertainty Intervals, Algorithm, Posterior, Seismic SHM, Uncertainty quantification, FRF based modal identification, Maximum-Likelihood Identification, Frequency-Domain
الوصف: In this study, an FRF based Bayesian approach is presented for modal identification of civil structures with known seismic input. The proposed method utilizes the statistical properties of frequency response function (FRF) of the observed structure which is obtained from the accel-eration response (output) and the seismic input recorded at the base level. In this context, first, the joint pdf of prediction error term and seismic input is derived. Then, applying a linear vector transformation, the output term in the derived joint pdf is defined as depending on the FRF and the seismic input. Finally, the marginal probability of FRF is obtained as a complex ratio distri-bution from the transformed joint pdf. The posterior probability function for modal parameters is obtained by using Bayes' theorem. The modal parameters are obtained by maximum likelihood estimation of the constructed probability density function. Finally, the posterior uncertainties for modal parameters are calculated. Two numerical and two real data examples are presented to illustrate the computational efficiency of the proposed methodology against input-output and output only techniques.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1096-1216
0888-3270
العلاقة: Mechanical Systems and Signal Processing; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.1016/j.ymssp.2022.110092Test; https://hdl.handle.net/11454/89630Test; HIZAL, Çağlayan/0000-0002-9783-6511; 189
DOI: 10.1016/j.ymssp.2022.110092
الإتاحة: https://doi.org/10.1016/j.ymssp.2022.110092Test
https://hdl.handle.net/11454/89630Test
حقوق: none
رقم الانضمام: edsbas.85719AA3
قاعدة البيانات: BASE
الوصف
تدمد:10961216
08883270
DOI:10.1016/j.ymssp.2022.110092