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Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation

Mukhlas, Nurul Azizah and Mohd. Zaki, Noor Irza and Abu Husain, Mohd. Khairi and Syed Ahmad, Sayyid Zainal Abidin and Najafian, Gholamhossein (2022) Efficient derivation of extreme non-gaussian stochastic structural response using finite-memory nonlinear system. Part 2: model validation. Ships and Offshore Structures, 17 (6). pp. 1209-1223. ISSN 1744-5302

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Official URL: http://dx.doi.org/10.1080/17445302.2021.1898127

Abstract

An analysis of the structure based on linear wave analysis is suggested as a preliminary analysis to assess the overall integrity of the structure. In situations where the results of the preliminary analysis are found to be extreme with several critical conditions, a more detailed structural analysis is suggested to conduct a nonlinear wave. Recently, an efficient model has been developed to test the extreme offshore structural response based on the nonlinear wave analysis using the time-domain approach. It is the derivation of non-Gaussian stochastic offshore structural response using the finite-memory nonlinear system, known as (Formula presented.). This paper focuses on the validation on the performance of the (Formula presented.) method in the analysis of short-term 100-year of extreme offshore structural responses. Providing good accuracy, the (Formula presented.) method offered a more efficient approach for an optimum and economical structural analysis.

Item Type:Article
Uncontrolled Keywords:extreme responses, finite-memory nonlinear system, Monte Carlo, nonlinear wave theory, offshore structure, second-order wave
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:104112
Deposited By: Yanti Mohd Shah
Deposited On:17 Jan 2024 01:12
Last Modified:17 Jan 2024 01:12

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