Prediction of long-term offshore structural responses based on non-linear wave modeling / Nurul ‘Azizah Mukhlas ... [et al.]

Mukhlas, Nurul ‘Azizah and Mohd Zaki, Noor Irza and Abu Husain, Mohd Khairi and Syed Ahmad, Sayyid Zainal Abidin and Ng, Chiew Teng and Ahmad Shah, Mohamad Shazwan and Umar, Sarehati and Md Noor, Norhazilan (2023) Prediction of long-term offshore structural responses based on non-linear wave modeling / Nurul ‘Azizah Mukhlas ... [et al.]. Journal of Sustainable Civil Engineering & Technology (JSCET), 2 (2): 2. pp. 14-27. ISSN 2948-4294


Wind-generated random wave loads are the dominant loads to consider for maintaining the reliability of fixed offshore structures. Based on probabilistic techniques, the inherent randomness of the wave loading can be used to predict extreme offshore structural response, which is Gaussian in nature. However, researchers have found that the hydrodynamic component and structural dynamics substantially impact the frequency spectrum, leading to a non-Gaussian stochastic offshore structural response. A finite-memory non-linear system (FMNSNL) has been proven to be an efficient approach to evaluate the non-Gaussian stochastic offshore structural response compared to the conventional method, Monte Carlo time simulation. However, the analysis has been conducted based on short-term distribution only. The most satisfactory analysis is based on long-term distribution. Hence, further investigation in this paper will evaluate the long-term probability distribution of extreme offshore structural responses. As a result, a 100-year extreme offshore structural response prediction achieves 80% to 96% accuracy compared to the Monte Carlo time simulation. The probability distribution has been evaluated using the Gumbel distribution function throughout this investigation. Still, there is a little deviation at the tail end of the distribution between the simulated response values and the fitted line. A different distribution function, such as the Generalised Extreme Value (GEV) distribution, is advised for future work.


Item Type: Article
Email / ID Num.
Mukhlas, Nurul ‘Azizah
Mohd Zaki, Noor Irza
Abu Husain, Mohd Khairi
Syed Ahmad, Sayyid Zainal Abidin
Ng, Chiew Teng
Ahmad Shah, Mohamad Shazwan
Umar, Sarehati
Md Noor, Norhazilan
Subjects: Q Science > QC Physics > Mathematical physics > Finite element method
T Technology > TA Engineering. Civil engineering > Dynamic loading conditions. Structural dynamics. Vibrations
Divisions: Universiti Teknologi MARA, Shah Alam > College of Engineering
Journal or Publication Title: Journal of Sustainable Civil Engineering & Technology (JSCET)
UiTM Journal Collections: UiTM Journal > Journal of Sustainable Civil Engineering and Technology (JSCET)
ISSN: 2948-4294
Volume: 2
Number: 2
Page Range: pp. 14-27
Keywords: Offshore structure, non-linear wave theory, finite-memory non-linear system, extreme response
Date: September 2023
Edit Item
Edit Item


[thumbnail of 85639.pdf] Text

Download (1MB)

ID Number




Statistic details