کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
802338 904379 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Linear models for non-Gaussian processes and applications to linear random vibration
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Linear models for non-Gaussian processes and applications to linear random vibration
چکیده انگلیسی

Linear models are finite sums of specified deterministic, continuous functions of time with random coefficients. It is shown that linear models provide (i)(i) accurate approximations for real-valued non-Gaussian processes with continuous samples defined on bounded time intervals, (ii)(ii) simple solutions for linear random vibration problems with non-Gaussian input, and (iii)(iii) efficient techniques for selecting optimal designs from collections of proposed alternatives. Theoretical arguments and numerical examples are presented to establish properties of linear models, illustrate the construction of linear models, solve linear random vibration with non-Gaussian input, and propose an approach for optimal design of linear dynamic systems. It is shown that the proposed linear model provides an efficient tool for analyzing linear systems in non-Gaussian environment.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Probabilistic Engineering Mechanics - Volume 26, Issue 3, July 2011, Pages 461–470
نویسندگان
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