Estimation of on-site directional wave spectra using measured hull stresses on 14,000 TEU large container ships

Chen, Xi; Okada, Tetsuo; Kawamura, Yasumi; Mitsuyuki, Taiga

doi:10.1007/s00773-019-00673-w

Cited by 23 publications

(10 citation statements)

References 19 publications

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“…The parameter T 1 was chosen as a representative measure for the wave periods because it is less susceptible to variations of energy in the high-frequency range of the spectra, if compared to the T z . Since this sort of variation is common in the VMB (due to the filtering of short waves), this procedure has been frequently adopted in the field (NIELSEN, 2008b;ISEKI, 2012;CHEN et al, 2020). Moreover, as is the case with T z , T 1 is an integral parameter, meaning that it still depends on the bulk energy estimated for the whole range of frequencies.…”

Section: Vmb Wave Spectrum Inference Resultsmentioning

confidence: 99%

A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway

Zago

Simos

Kawano

et al. 2023

Applied Ocean Research

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Section: Vmb Wave Spectrum Inference Resultsmentioning

confidence: 99%

A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway

Zago

Simos

Kawano

et al. 2023

Applied Ocean Research

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“…For instance, in relative terms, motion components like heave, roll, and pitch are typically less excited compared to structural hull girder responses such as bending and twisting, when the ship operates in short waves. In other words, the negative effects of a ship’s low-pass filtering characteristics can be diminished by introducing responses not affected by the low-pass behaviour to the same degree as motion components 10 , 19 , 25 . Consequently, designing or selecting the right measurements for improved estimation capabilities would be nice to have as a standard approach, thinking in the direction of a dynamical and automatic selection 53 , 54 .…”

Section: Discussionmentioning

confidence: 99%

Estimating waves via measured ship responses

Nielsen,

Bingham,

Brodtkorb

et al. 2023

Sci Rep

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Optimisation of energy efficiency and operational performance as well as assessment of safety levels and emissions of marine operations require detailed information about the acting wave system. It is possible—with an analogy to classical wave buoys—to estimate the directional wave spectrum by processing sensor measurements of wave-induced responses (e.g., motions and structural responses) from a ship. Compared to other sources of wave data (e.g., buoys, satellites, third-generation wave models), estimation concepts using the ship itself as a buoy provide the wave spectrum at the exact spatio-temporal point, potentially increasing accuracy and with minimal associated cost. This paper gives an overview of the technology, discusses associated uncertainties, and highlights new developments made for estimating waves via measured ship responses.

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“…However, for a large ship like a large container ship, the ship motions caused by high frequency waves are relatively small, while the hydro-elastic structural response becomes more significant. From this viewpoint, Chen et al (2018) proposed a new parametric method using the longitudinal hull girder bending stresses as one of the measured inputs, and showed that the wave spectrum could be predicted more accurately by this method. Chen et al (2021) further extended this method so that the multi-peaked directional wave spectrum could be estimated.…”

Section: Wave Spectrum Methodsmentioning

confidence: 99%

A digital twin for ship structures—R&D project in Japan

Fujikubo,

Okada,

Murayama

et al. 2024

DCE

Self Cite

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In order to clarify and visualize the real state of the structural performances of ships in operation and establish a more optimal, data-driven framework for ship design, construction and operation, an industry-academia joint R&D project on the digital twin for ship structures (DTSS) was conducted in Japan. This paper presents the major achievements of the project. The DTSS aims to grasp the stress responses over the whole ship structure in waves by data assimilation that merges hull monitoring and numerical simulation. Three data assimilation methods, namely, the wave spectrum method, Kalman filter method, and inverse finite element method were used, and their effectiveness was examined through model and full-scale ship measurements. Methods for predicting short-term extreme responses and long-term cumulative fatigue damage were developed for navigation and maintenance support using statistical approaches. In comparison with conventional approaches, response predictions were significantly improved by DTSS using real response data in encountered waves. Utilization scenarios for DTSS in the maritime industry were presented from the viewpoints of navigation support, maintenance support, rule improvement, and product value improvement, together with future research needs for implementation in the maritime industry.

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Estimation of on-site directional wave spectra using measured hull stresses on 14,000 TEU large container ships

Abstract: Container ships are becoming larger and larger

Cited by 23 publications

References 19 publications

A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway

A new vessel motion based method for parametric estimation of the waves encountered by the ship in a seaway

Estimating waves via measured ship responses

A digital twin for ship structures—R&D project in Japan

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