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Ship Motions and Wave Loads—2nd Edition
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Ship Motions and Wave Loads—2nd Edition

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (25 July 2024) | Viewed by 2104

Special Issue Editors

Dr. Jialong Jiao

E-Mail Website
Guest Editor
School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China
Interests: ship seakeeping; wave loads; hydrodynamics; hydroelasticity; slamming; computational fluid dynamics
Special Issues, Collections and Topics in MDPI journals
Dr. Shan Wang

E-Mail Website
Guest Editor
Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
Interests: slamming; mooring analysis; ship vibration; fluid–structure interaction; hydroelasticity
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The prediction of ship motions and loads induced by waves is a central problem of hydrodynamics and fundamental for structural design. To date, a wide variety of numerical and experimental methods have been developed to deal with these problems. In early studies, the potential flow theories were developed to estimate motions, wave loads, and the hydroelasticity of ships in waves. Recently, the computational fluid dynamics (CFD) technique has been rapidly developed as a novel tool to address these problems. Tank model tests and sea trials have also been conducted to experimentally investigate the seakeeping and wave loads of ships. However, due to the complexity of interactions between water waves and arbitrary shape moving bodies in the presence of free surface and forward speed, the problems of wave-induced ship motions and loads are far from being satisfactorily addressed, especially for problems involving high forward speeds, harsh weather, instantaneous wetted surfaces, irregular sea waves, and strong nonlinear slamming loads.

This Special Issue aims to gather the latest developments in the prediction of ship seakeeping and wave loads identified by theoretical, numerical, and experimental studies. The use of novel numerical and experimental tools, including potential flow theory, CFD tools, and model/full-scale measurements that address the relevant problems, is especially welcome.

Dr. Jialong Jiao
Dr. Shan Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ships hydrodynamics
  • water waves and floating bodies
  • ship seakeeping
  • wave loads
  • environmental loads
  • hydroelasticity
  • slamming and whipping
  • springing
  • fluid–structure interaction
  • liquid cargo vessel hydrodynamics
  • marine computational fluid dynamics

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Published Papers (1 paper)

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Research

40 pages, 10077 KiB  
Article
Identification of Wind Load Exerted on the Jacket Wind Turbines from Optimally Placed Strain Gauges Using C-Optimal Design and Mathematical Model Reduction
by Fan Zhu, Meng Zhang, Fuxuan Ma, Zhihua Li and Xianqiang Qu
J. Mar. Sci. Eng. 2024, 12(4), 563; https://doi.org/10.3390/jmse12040563 - 27 Mar 2024
Cited by 5 | Viewed by 1351
Abstract
Wind turbine towers experience complex dynamic loads during actual operation, and these loads are difficult to accurately predict in advance, which may lead to inaccurate structural fatigue and strength assessment during the structural design phase, thereby posing safety risks to the wind turbine [...] Read more.
Wind turbine towers experience complex dynamic loads during actual operation, and these loads are difficult to accurately predict in advance, which may lead to inaccurate structural fatigue and strength assessment during the structural design phase, thereby posing safety risks to the wind turbine tower. However, online monitoring of wind loads has become possible with the development of load identification technology. Therefore, an identification method for wind load exerted on wind turbine towers was developed in this study to estimate the wind loads using structural strain, which can be used for online monitoring of wind loads. The wind loads exerted on the wind turbine tower were simplified into six equivalent concentrated forces on the topside of the tower, and the initial mathematical model for wind load identification was established based on dynamic load identification theory in the frequency domain, in which many candidate sensor locations and directions were considered. Then, the initial mathematical model was expressed as a linear system of equations. A numerical example was used to verify the accuracy and stability of the initial mathematical model for the wind load identification, and the identification results indicate that the initial mathematical model combined with the Moore–Penrose inverse algorithm can provide stable and accurate reconstruction results. However, the initial mathematical model uses too many sensors, which is not conducive to engineering applications. Therefore, D-optimal and C-optimal design methods were used to reduce the dimension of the initial mathematical model and determine the location and direction of strain gauges. The C-optimal design method adopts a direct optimisation search strategy, while the D-optimal design method adopts an indirect optimisation search strategy. Then, four numerical examples of wind load identification show that dimensionality reduction of the mathematical model leads to high accuracy, in which the C-optimal design algorithm provides more robust identification results. Moreover, the fatigue damage calculated based on the load identification wind loads closely approximates that derived from finite element simulation wind load, with a relative error within 6%. Therefore, the load identification method developed in this study offers a pragmatic solution for the accurate acquisition of the actual wind load of a wind turbine tower. Full article
(This article belongs to the Special Issue Ship Motions and Wave Loads—2nd Edition)
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