Technical Papers
Jul 16, 2018

Laplace Domain Approach for Computing Transient Response of Simple Oscillators to Stationary Excitation

Publication: Journal of Engineering Mechanics
Volume 144, Issue 9

Abstract

Evaluating the mean-square response at the transient state of a single degree of freedom (SDOF) system to stationary random excitation has been extensively studied in the past, but the explicit closed-form solution has not been available unless the excitation was considered to be a physically unrealizable white noise process. In this paper, explicit closed-form solutions for the mean-square response are derived for arbitrary input power spectral density (psd) functions. While all existing solution methods for evaluating the mean-square response have always been conducted in the time and/or frequency domains, the proposed method is operated in the complex plane (Laplace domain) based on pole-residue formulations. Not only is the proposed approach is much more efficient than other existing approaches, but also meaningful physical and mathematical insights can be gained in its solution procedure. To demonstrate the procedure, this paper considers the excitation process characterized by a white and nonwhite psd, respectively, and the corresponding closed-form solutions for the transient mean-square response of SDOF systems are derived. The correctness of the closed-form solution for the nonwhite psd is verified by Monte Carlo simulations.

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Acknowledgments

The research was financially supported by the National Natural Science Foundation of China (Grant Nos. 51490670 and 51490675).

References

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Information & Authors

Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 144Issue 9September 2018

History

Received: Jan 18, 2018
Accepted: Apr 19, 2018
Published online: Jul 16, 2018
Published in print: Sep 1, 2018
Discussion open until: Dec 16, 2018

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Authors

Affiliations

Sau-Lon James Hu [email protected]
Professor, Dept. of Ocean Engineering, Univ. of Rhode Island, Narragansett, RI 02882-1197 (corresponding author). Email: [email protected]
Qianying Cao [email protected]
Ph.D. Candidate, College of Engineering, Ocean Univ. of China, Qingdao 266100, China. Email: [email protected]
Professor, Shandong Provincial Key Laboratory of Ocean Engineering, Ocean Univ. of China, Qingdao 266100, China. Email: [email protected]

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