Comparative Study of Random Matrices Capability in Uncertainty Detection of Pier's Dynamics
Author(s):
Abstract:
Because of random nature of many dependent variables in coastal engineering, treatment of effective parameters is generally associated with uncertainty. Numerical models are often used for dynamic analysis of complex structures, including mechanical systems. Furthermore, deterministic models are not sufficient for exact anticipation of structure’s dynamic response, but probabilistic models are far more efficient in modelling uncertainties. To determine the uncertainty effect on dynamic characteristics, the laboratory samples of a pier structure were created. Stochastic finite element method was used for numerical study of pier’s dynamic behavior. For this purpose, the concept of variable distributions of Gaussian and Wishart random matrices for modeling dynamic characteristics of the system was used. At last, by comparing the output frequency response function obtained from empirical experiments and numerical simulation of stochastic finite element method, it is shown that probability density function of Wishart matrix evaluates and tracks uncertainty parameters in system’s dynamic response far better than Gaussian matrix.
Keywords:
Language:
English
Published:
Journal of the Persian Gulf (Marine Science), Volume:5 Issue: 16, Summer 2014
Pages:
65 to 78
magiran.com/p1354237
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یکساله به مبلغ 1,390,000ريال میتوانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.
In order to view content subscription is required
Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!