contributor author | Fan Kong | |
contributor author | Yijian Xu | |
contributor author | Zhaodong Ding | |
contributor author | Xianghong Sun | |
date accessioned | 2024-04-27T22:39:52Z | |
date available | 2024-04-27T22:39:52Z | |
date issued | 2024/03/01 | |
identifier other | 10.1061-AJRUA6.RUENG-1167.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4297200 | |
description abstract | This paper presents a novel method for obtaining analytical solutions for the nonstationary response of multidegree-of-freedom (MDOF) systems endowed with half fractional derivative elements and subjected to external stochastic excitation. Specifically, first, the proposed technique employs eigenvector expansion of the state-space formulation and Laplace transforms to derive an analytical solution for the impulse/frequency response function (IRF/FRF) of the fractional-order dynamic system. Moreover, by utilizing the Laplace transform method, exact analytical solutions for the second-moment response are obtained in the frequency domain. A comprehensive set of six numerical cases is presented to demonstrate the effectiveness of this novel methodology. These cases include two degenerated scenarios, namely a single-degree-of-freedom (SDOF) system and a two-degree-of-freedom (2-DOF) linear system, both endowed with half-order fractional derivative elements and subjected to stochastic stationary/nonstationary excitations, including white noise, modulated white noise, and modulated colored noise with modified Kanai-Tajimi spectrum. The analytical nonstationary responses derived by the proposed method exhibit exceptional agreement with pertinent Monte Carlo simulations, validating the accuracy and reliability of the proposed approach. | |
publisher | ASCE | |
title | Analytical Nonstationary Response of Linear Stochastic MDOF Systems Endowed with Half-Order Fractional Derivative Elements | |
type | Journal Article | |
journal volume | 10 | |
journal issue | 1 | |
journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
identifier doi | 10.1061/AJRUA6.RUENG-1167 | |
journal fristpage | 04023048-1 | |
journal lastpage | 04023048-11 | |
page | 11 | |
tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 001 | |
contenttype | Fulltext | |